rsb-spblas.h(3)

NAME
librsb - rsb-spblas.h - A Sparse BLAS interface (see http://www.netlib.org/blas/blast-forum/) to librsb. Level 1 (vector-vector operations) is supported in a basic way. Level 2 (sparse matrix-dense vector operations) is supported fully. Level 3 (sparse matrix-dense matrix operations) is supported as a wrapper around Level 2.

DESCRIPTION

SYNOPSIS

  Functions
int BLAS_susdot (const enum blas_conj_type conj, const int nnz, const float *x, const int *indx, const float *y, const int incy, float *r, const enum blas_base_type index_base)
void blas_susdot_ (const enum blas_conj_type *conj, const int *nnz, const float *x, const int *indx, const float *y, const int *incy, float *r, const enum blas_base_type *index_base, int *istat)
int BLAS_dusdot (const enum blas_conj_type conj, const int nnz, const double *x, const int *indx, const double *y, const int incy, double *r, const enum blas_base_type index_base)
void blas_dusdot_ (const enum blas_conj_type *conj, const int *nnz, const double *x, const int *indx, const double *y, const int *incy, double *r, const enum blas_base_type *index_base, int *istat)
int BLAS_cusdot (const enum blas_conj_type conj, const int nnz, const void *x, const int *indx, const void *y, const int incy, void *r, const enum blas_base_type index_base)
void blas_cusdot_ (const enum blas_conj_type *conj, const int *nnz, const void *x, const int *indx, const void *y, const int *incy, void *r, const enum blas_base_type *index_base, int *istat)
int BLAS_zusdot (const enum blas_conj_type conj, const int nnz, const void *x, const int *indx, const void *y, const int incy, void *r, const enum blas_base_type index_base)
void blas_zusdot_ (const enum blas_conj_type *conj, const int *nnz, const void *x, const int *indx, const void *y, const int *incy, void *r, const enum blas_base_type *index_base, int *istat)
int BLAS_susaxpy (const int nnz, float alpha, const float *x, const int *indx, float *y, const int incy, const enum blas_base_type index_base)
void blas_susaxpy_ (const int *nnz, float *alpha, const float *x, const int *indx, float *y, const int *incy, const enum blas_base_type *index_base, int *istat)
int BLAS_dusaxpy (const int nnz, double alpha, const double *x, const int *indx, double *y, const int incy, const enum blas_base_type index_base)
void blas_dusaxpy_ (const int *nnz, double *alpha, const double *x, const int *indx, double *y, const int *incy, const enum blas_base_type *index_base, int *istat)
int BLAS_cusaxpy (const int nnz, const void *alpha, const void *x, const int *indx, void *y, const int incy, const enum blas_base_type index_base)
void blas_cusaxpy_ (const int *nnz, const void *alpha, const void *x, const int *indx, void *y, const int *incy, const enum blas_base_type *index_base, int *istat)
int BLAS_zusaxpy (const int nnz, const void *alpha, const void *x, const int *indx, void *y, const int incy, const enum blas_base_type index_base)
void blas_zusaxpy_ (const int *nnz, const void *alpha, const void *x, const int *indx, void *y, const int *incy, const enum blas_base_type *index_base, int *istat)
int BLAS_susga (const int nnz, const float *y, const int incy, float *x, const int *indx, const enum blas_base_type index_base)
void blas_susga_ (const int *nnz, const float *y, const int *incy, float *x, const int *indx, const enum blas_base_type *index_base, int *istat)
int BLAS_dusga (const int nnz, const double *y, const int incy, double *x, const int *indx, const enum blas_base_type index_base)
void blas_dusga_ (const int *nnz, const double *y, const int *incy, double *x, const int *indx, const enum blas_base_type *index_base, int *istat)
int BLAS_cusga (const int nnz, const void *y, const int incy, void *x, const int *indx, const enum blas_base_type index_base)
void blas_cusga_ (const int *nnz, const void *y, const int *incy, void *x, const int *indx, const enum blas_base_type *index_base, int *istat)
int BLAS_zusga (const int nnz, const void *y, const int incy, void *x, const int *indx, const enum blas_base_type index_base)
void blas_zusga_ (const int *nnz, const void *y, const int *incy, void *x, const int *indx, const enum blas_base_type *index_base, int *istat)
int BLAS_susgz (const int nnz, float *y, const int incy, float *x, const int *indx, const enum blas_base_type index_base)
void blas_susgz_ (const int *nnz, float *y, const int *incy, float *x, const int *indx, const enum blas_base_type *index_base, int *istat)
int BLAS_dusgz (const int nnz, double *y, const int incy, double *x, const int *indx, const enum blas_base_type index_base)
void blas_dusgz_ (const int *nnz, double *y, const int *incy, double *x, const int *indx, const enum blas_base_type *index_base, int *istat)
int BLAS_cusgz (const int nnz, void *y, const int incy, void *x, const int *indx, const enum blas_base_type index_base)
void blas_cusgz_ (const int *nnz, void *y, const int *incy, void *x, const int *indx, const enum blas_base_type *index_base, int *istat)
int BLAS_zusgz (const int nnz, void *y, const int incy, void *x, const int *indx, const enum blas_base_type index_base)
void blas_zusgz_ (const int *nnz, void *y, const int *incy, void *x, const int *indx, const enum blas_base_type *index_base, int *istat)
int BLAS_sussc (const int nnz, const float *x, float *y, const int incy, const int *indx, const enum blas_base_type index_base)
void blas_sussc_ (const int *nnz, const float *x, float *y, const int *incy, const int *indx, const enum blas_base_type *index_base, int *istat)
int BLAS_dussc (const int nnz, const double *x, double *y, const int incy, const int *indx, const enum blas_base_type index_base)
void blas_dussc_ (const int *nnz, const double *x, double *y, const int *incy, const int *indx, const enum blas_base_type *index_base, int *istat)
int BLAS_cussc (const int nnz, const void *x, void *y, const int incy, const int *indx, const enum blas_base_type index_base)
void blas_cussc_ (const int *nnz, const void *x, void *y, const int *incy, const int *indx, const enum blas_base_type *index_base, int *istat)
int BLAS_zussc (const int nnz, const void *x, void *y, const int incy, const int *indx, const enum blas_base_type index_base)
void blas_zussc_ (const int *nnz, const void *x, void *y, const int *incy, const int *indx, const enum blas_base_type *index_base, int *istat)
int BLAS_susmv (const enum blas_trans_type transA, float alpha, const blas_sparse_matrix A, const float *x, const int incx, float *y, const int incy)
void blas_susmv_ (const enum blas_trans_type *transA, float *alpha, const blas_sparse_matrix *A, const float *x, const int *incx, float *y, const int *incy, int *istat)
int BLAS_dusmv (const enum blas_trans_type transA, double alpha, const blas_sparse_matrix A, const double *x, const int incx, double *y, const int incy)
void blas_dusmv_ (const enum blas_trans_type *transA, double *alpha, const blas_sparse_matrix *A, const double *x, const int *incx, double *y, const int *incy, int *istat)
int BLAS_cusmv (const enum blas_trans_type transA, const void *alpha, const blas_sparse_matrix A, const void *x, const int incx, void *y, const int incy)
void blas_cusmv_ (const enum blas_trans_type *transA, const void *alpha, const blas_sparse_matrix *A, const void *x, const int *incx, void *y, const int *incy, int *istat)
int BLAS_zusmv (const enum blas_trans_type transA, const void *alpha, const blas_sparse_matrix A, const void *x, const int incx, void *y, const int incy)
void blas_zusmv_ (const enum blas_trans_type *transA, const void *alpha, const blas_sparse_matrix *A, const void *x, const int *incx, void *y, const int *incy, int *istat)
int BLAS_sussv (enum blas_trans_type transT, float alpha, const blas_sparse_matrix T, float *x, const int incx)
void blas_sussv_ (enum blas_trans_type *transT, float *alpha, const blas_sparse_matrix *T, float *x, const int *incx, int *istat)
int BLAS_dussv (enum blas_trans_type transT, double alpha, const blas_sparse_matrix T, double *x, const int incx)
void blas_dussv_ (enum blas_trans_type *transT, double *alpha, const blas_sparse_matrix *T, double *x, const int *incx, int *istat)
int BLAS_cussv (enum blas_trans_type transT, const void *alpha, const blas_sparse_matrix T, void *x, const int incx)
void blas_cussv_ (enum blas_trans_type *transT, const void *alpha, const blas_sparse_matrix *T, void *x, const int *incx, int *istat)
int BLAS_zussv (enum blas_trans_type transT, const void *alpha, const blas_sparse_matrix T, void *x, const int incx)
void blas_zussv_ (enum blas_trans_type *transT, const void *alpha, const blas_sparse_matrix *T, void *x, const int *incx, int *istat)
int BLAS_susmm (const enum blas_order_type order, const enum blas_trans_type transA, const int nrhs, float alpha, const blas_sparse_matrix A, const float *b, const int ldb, float *c, const int ldc)
void blas_susmm_ (const enum blas_order_type *order, const enum blas_trans_type *transA, const int *nrhs, float *alpha, const blas_sparse_matrix *A, const float *b, const int *ldb, float *c, const int *ldc, int *istat)
int BLAS_dusmm (const enum blas_order_type order, const enum blas_trans_type transA, const int nrhs, double alpha, const blas_sparse_matrix A, const double *b, const int ldb, double *c, const int ldc)
void blas_dusmm_ (const enum blas_order_type *order, const enum blas_trans_type *transA, const int *nrhs, double *alpha, const blas_sparse_matrix *A, const double *b, const int *ldb, double *c, const int *ldc, int *istat)
int BLAS_cusmm (const enum blas_order_type order, const enum blas_trans_type transA, const int nrhs, const void *alpha, const blas_sparse_matrix A, const void *b, const int ldb, void *c, const int ldc)
void blas_cusmm_ (const enum blas_order_type *order, const enum blas_trans_type *transA, const int *nrhs, const void *alpha, const blas_sparse_matrix *A, const void *b, const int *ldb, void *c, const int *ldc, int *istat)
int BLAS_zusmm (const enum blas_order_type order, const enum blas_trans_type transA, const int nrhs, const void *alpha, const blas_sparse_matrix A, const void *b, const int ldb, void *c, const int ldc)
void blas_zusmm_ (const enum blas_order_type *order, const enum blas_trans_type *transA, const int *nrhs, const void *alpha, const blas_sparse_matrix *A, const void *b, const int *ldb, void *c, const int *ldc, int *istat)
int BLAS_sussm (const enum blas_order_type order, const enum blas_trans_type transT, const int nrhs, float alpha, const blas_sparse_matrix T, float *b, const int ldb)
void blas_sussm_ (const enum blas_order_type *order, const enum blas_trans_type *transT, const int *nrhs, float *alpha, const blas_sparse_matrix *T, float *b, const int *ldb, int *istat)
int BLAS_dussm (const enum blas_order_type order, const enum blas_trans_type transT, const int nrhs, double alpha, const blas_sparse_matrix T, double *b, const int ldb)
void blas_dussm_ (const enum blas_order_type *order, const enum blas_trans_type *transT, const int *nrhs, double *alpha, const blas_sparse_matrix *T, double *b, const int *ldb, int *istat)
int BLAS_cussm (const enum blas_order_type order, const enum blas_trans_type transT, const int nrhs, const void *alpha, const blas_sparse_matrix T, void *b, const int ldb)
void blas_cussm_ (const enum blas_order_type *order, const enum blas_trans_type *transT, const int *nrhs, const void *alpha, const blas_sparse_matrix *T, void *b, const int *ldb, int *istat)
int BLAS_zussm (const enum blas_order_type order, const enum blas_trans_type transT, const int nrhs, const void *alpha, const blas_sparse_matrix T, void *b, const int ldb)
void blas_zussm_ (const enum blas_order_type *order, const enum blas_trans_type *transT, const int *nrhs, const void *alpha, const blas_sparse_matrix *T, void *b, const int *ldb, int *istat)
blas_sparse_matrix BLAS_suscr_begin (int m, int n)
void blas_suscr_begin_ (int *m, int *n, blas_sparse_matrix *A, int *istat)
blas_sparse_matrix BLAS_duscr_begin (int m, int n)
void blas_duscr_begin_ (int *m, int *n, blas_sparse_matrix *A, int *istat)
blas_sparse_matrix BLAS_cuscr_begin (int m, int n)
void blas_cuscr_begin_ (int *m, int *n, blas_sparse_matrix *A, int *istat)
blas_sparse_matrix BLAS_zuscr_begin (int m, int n)
void blas_zuscr_begin_ (int *m, int *n, blas_sparse_matrix *A, int *istat)
blas_sparse_matrix BLAS_suscr_block_begin (int Mb, int Nb, int k, int l)
void blas_suscr_block_begin_ (int *Mb, int *Nb, int *k, int *l, blas_sparse_matrix *A, int *istat)
blas_sparse_matrix BLAS_duscr_block_begin (int Mb, int Nb, int k, int l)
void blas_duscr_block_begin_ (int *Mb, int *Nb, int *k, int *l, blas_sparse_matrix *A, int *istat)
blas_sparse_matrix BLAS_cuscr_block_begin (int Mb, int Nb, int k, int l)
void blas_cuscr_block_begin_ (int *Mb, int *Nb, int *k, int *l, blas_sparse_matrix *A, int *istat)
blas_sparse_matrix BLAS_zuscr_block_begin (int Mb, int Nb, int k, int l)
void blas_zuscr_block_begin_ (int *Mb, int *Nb, int *k, int *l, blas_sparse_matrix *A, int *istat)
blas_sparse_matrix BLAS_suscr_variable_block_begin (int Mb, int Nb, const int *K, const int *L)
void blas_suscr_variable_block_begin_ (int *Mb, int *Nb, const int *K, const int *L, blas_sparse_matrix *A, int *istat)
blas_sparse_matrix BLAS_duscr_variable_block_begin (int Mb, int Nb, const int *K, const int *L)
void blas_duscr_variable_block_begin_ (int *Mb, int *Nb, const int *K, const int *L, blas_sparse_matrix *A, int *istat)
blas_sparse_matrix BLAS_cuscr_variable_block_begin (int Mb, int Nb, const int *K, const int *L)
void blas_cuscr_variable_block_begin_ (int *Mb, int *Nb, const int *K, const int *L, blas_sparse_matrix *A, int *istat)
blas_sparse_matrix BLAS_zuscr_variable_block_begin (int Mb, int Nb, const int *K, const int *L)
void blas_zuscr_variable_block_begin_ (int *Mb, int *Nb, const int *K, const int *L, blas_sparse_matrix *A, int *istat)
int BLAS_suscr_end (blas_sparse_matrix A)
void blas_suscr_end_ (blas_sparse_matrix *A, int *istat)
int BLAS_duscr_end (blas_sparse_matrix A)
void blas_duscr_end_ (blas_sparse_matrix *A, int *istat)
int BLAS_cuscr_end (blas_sparse_matrix A)
void blas_cuscr_end_ (blas_sparse_matrix *A, int *istat)
int BLAS_zuscr_end (blas_sparse_matrix A)
void blas_zuscr_end_ (blas_sparse_matrix *A, int *istat)
int BLAS_suscr_insert_entry (blas_sparse_matrix A, float val, int i, int j)
void blas_suscr_insert_entry_ (blas_sparse_matrix *A, float *val, int *i, int *j, int *istat)
int BLAS_duscr_insert_entry (blas_sparse_matrix A, double val, int i, int j)
void blas_duscr_insert_entry_ (blas_sparse_matrix *A, double *val, int *i, int *j, int *istat)
int BLAS_cuscr_insert_entry (blas_sparse_matrix A, const void *val, int i, int j)
void blas_cuscr_insert_entry_ (blas_sparse_matrix *A, const void *val, int *i, int *j, int *istat)
int BLAS_zuscr_insert_entry (blas_sparse_matrix A, const void *val, int i, int j)
void blas_zuscr_insert_entry_ (blas_sparse_matrix *A, const void *val, int *i, int *j, int *istat)
int BLAS_suscr_insert_entries (blas_sparse_matrix A, int nnz, const float *val, const int *indx, const int *jndx)
void blas_suscr_insert_entries_ (blas_sparse_matrix *A, int *nnz, const float *val, const int *indx, const int *jndx, int *istat)
int BLAS_duscr_insert_entries (blas_sparse_matrix A, int nnz, const double *val, const int *indx, const int *jndx)
void blas_duscr_insert_entries_ (blas_sparse_matrix *A, int *nnz, const double *val, const int *indx, const int *jndx, int *istat)
int BLAS_cuscr_insert_entries (blas_sparse_matrix A, int nnz, const void *val, const int *indx, const int *jndx)
void blas_cuscr_insert_entries_ (blas_sparse_matrix *A, int *nnz, const void *val, const int *indx, const int *jndx, int *istat)
int BLAS_zuscr_insert_entries (blas_sparse_matrix A, int nnz, const void *val, const int *indx, const int *jndx)
void blas_zuscr_insert_entries_ (blas_sparse_matrix *A, int *nnz, const void *val, const int *indx, const int *jndx, int *istat)
int BLAS_suscr_insert_col (blas_sparse_matrix A, int j, int nnz, const float *val, const int *indx)
void blas_suscr_insert_col_ (blas_sparse_matrix *A, int *j, int *nnz, const float *val, const int *indx, int *istat)
int BLAS_duscr_insert_col (blas_sparse_matrix A, int j, int nnz, const double *val, const int *indx)
void blas_duscr_insert_col_ (blas_sparse_matrix *A, int *j, int *nnz, const double *val, const int *indx, int *istat)
int BLAS_cuscr_insert_col (blas_sparse_matrix A, int j, int nnz, const void *val, const int *indx)
void blas_cuscr_insert_col_ (blas_sparse_matrix *A, int *j, int *nnz, const void *val, const int *indx, int *istat)
int BLAS_zuscr_insert_col (blas_sparse_matrix A, int j, int nnz, const void *val, const int *indx)
void blas_zuscr_insert_col_ (blas_sparse_matrix *A, int *j, int *nnz, const void *val, const int *indx, int *istat)
int BLAS_suscr_insert_row (blas_sparse_matrix A, int i, int nnz, const float *val, const int *indx)
void blas_suscr_insert_row_ (blas_sparse_matrix *A, int *i, int *nnz, const float *val, const int *indx, int *istat)
int BLAS_duscr_insert_row (blas_sparse_matrix A, int i, int nnz, const double *val, const int *indx)
void blas_duscr_insert_row_ (blas_sparse_matrix *A, int *i, int *nnz, const double *val, const int *indx, int *istat)
int BLAS_cuscr_insert_row (blas_sparse_matrix A, int i, int nnz, const void *val, const int *indx)
void blas_cuscr_insert_row_ (blas_sparse_matrix *A, int *i, int *nnz, const void *val, const int *indx, int *istat)
int BLAS_zuscr_insert_row (blas_sparse_matrix A, int i, int nnz, const void *val, const int *indx)
void blas_zuscr_insert_row_ (blas_sparse_matrix *A, int *i, int *nnz, const void *val, const int *indx, int *istat)
int BLAS_suscr_insert_clique (blas_sparse_matrix A, const int k, const int l, const float *val, const int row_stride, const int col_stride, const int *indx, const int *jndx)
void blas_suscr_insert_clique_ (blas_sparse_matrix *A, const int *k, const int *l, const float *val, const int *row_stride, const int *col_stride, const int *indx, const int *jndx, int *istat)
int BLAS_duscr_insert_clique (blas_sparse_matrix A, const int k, const int l, const double *val, const int row_stride, const int col_stride, const int *indx, const int *jndx)
void blas_duscr_insert_clique_ (blas_sparse_matrix *A, const int *k, const int *l, const double *val, const int *row_stride, const int *col_stride, const int *indx, const int *jndx, int *istat)
int BLAS_cuscr_insert_clique (blas_sparse_matrix A, const int k, const int l, const void *val, const int row_stride, const int col_stride, const int *indx, const int *jndx)
void blas_cuscr_insert_clique_ (blas_sparse_matrix *A, const int *k, const int *l, const void *val, const int *row_stride, const int *col_stride, const int *indx, const int *jndx, int *istat)
int BLAS_zuscr_insert_clique (blas_sparse_matrix A, const int k, const int l, const void *val, const int row_stride, const int col_stride, const int *indx, const int *jndx)
void blas_zuscr_insert_clique_ (blas_sparse_matrix *A, const int *k, const int *l, const void *val, const int *row_stride, const int *col_stride, const int *indx, const int *jndx, int *istat)
int BLAS_suscr_insert_block (blas_sparse_matrix A, const float *val, int row_stride, int col_stride, int i, int j)
void blas_suscr_insert_block_ (blas_sparse_matrix *A, const float *val, int *row_stride, int *col_stride, int *i, int *j, int *istat)
int BLAS_duscr_insert_block (blas_sparse_matrix A, const double *val, int row_stride, int col_stride, int i, int j)
void blas_duscr_insert_block_ (blas_sparse_matrix *A, const double *val, int *row_stride, int *col_stride, int *i, int *j, int *istat)
int BLAS_cuscr_insert_block (blas_sparse_matrix A, const void *val, int row_stride, int col_stride, int i, int j)
void blas_cuscr_insert_block_ (blas_sparse_matrix *A, const void *val, int *row_stride, int *col_stride, int *i, int *j, int *istat)
int BLAS_zuscr_insert_block (blas_sparse_matrix A, const void *val, int row_stride, int col_stride, int i, int j)
void blas_zuscr_insert_block_ (blas_sparse_matrix *A, const void *val, int *row_stride, int *col_stride, int *i, int *j, int *istat)
int BLAS_uscr_end (blas_sparse_matrix A)
void blas_uscr_end_ (blas_sparse_matrix *A, int *istat)
int BLAS_usds (blas_sparse_matrix A)
void blas_usds_ (blas_sparse_matrix *A, int *istat)
int BLAS_susrows_scale (blas_sparse_matrix A, const float *d, const enum blas_trans_type trans)
void blas_susrows_scale_ (blas_sparse_matrix *A, const float *d, const enum blas_trans_type *trans, int *istat)
int BLAS_dusrows_scale (blas_sparse_matrix A, const double *d, const enum blas_trans_type trans)
void blas_dusrows_scale_ (blas_sparse_matrix *A, const double *d, const enum blas_trans_type *trans, int *istat)
int BLAS_cusrows_scale (blas_sparse_matrix A, const void *d, const enum blas_trans_type trans)
void blas_cusrows_scale_ (blas_sparse_matrix *A, const void *d, const enum blas_trans_type *trans, int *istat)
int BLAS_zusrows_scale (blas_sparse_matrix A, const void *d, const enum blas_trans_type trans)
void blas_zusrows_scale_ (blas_sparse_matrix *A, const void *d, const enum blas_trans_type *trans, int *istat)
int BLAS_susget_diag (blas_sparse_matrix A, float *d)
void blas_susget_diag_ (blas_sparse_matrix *A, float *d, int *istat)
int BLAS_dusget_diag (blas_sparse_matrix A, double *d)
void blas_dusget_diag_ (blas_sparse_matrix *A, double *d, int *istat)
int BLAS_cusget_diag (blas_sparse_matrix A, void *d)
void blas_cusget_diag_ (blas_sparse_matrix *A, void *d, int *istat)
int BLAS_zusget_diag (blas_sparse_matrix A, void *d)
void blas_zusget_diag_ (blas_sparse_matrix *A, void *d, int *istat)
int BLAS_susget_rows_nnz (blas_sparse_matrix A, const int fr, const int lr, int *nnzp)
void blas_susget_rows_nnz_ (blas_sparse_matrix *A, const int *fr, const int *lr, int *nnzp, int *istat)
int BLAS_dusget_rows_nnz (blas_sparse_matrix A, const int fr, const int lr, int *nnzp)
void blas_dusget_rows_nnz_ (blas_sparse_matrix *A, const int *fr, const int *lr, int *nnzp, int *istat)
int BLAS_cusget_rows_nnz (blas_sparse_matrix A, const int fr, const int lr, int *nnzp)
void blas_cusget_rows_nnz_ (blas_sparse_matrix *A, const int *fr, const int *lr, int *nnzp, int *istat)
int BLAS_zusget_rows_nnz (blas_sparse_matrix A, const int fr, const int lr, int *nnzp)
void blas_zusget_rows_nnz_ (blas_sparse_matrix *A, const int *fr, const int *lr, int *nnzp, int *istat)
int BLAS_susget_rows_sparse (blas_sparse_matrix A, float *VA, int *IA, int *JA, int *nnz, const int fr, const int lr)
void blas_susget_rows_sparse_ (blas_sparse_matrix *A, float *VA, int *IA, int *JA, int *nnz, const int *fr, const int *lr, int *istat)
int BLAS_dusget_rows_sparse (blas_sparse_matrix A, double *VA, int *IA, int *JA, int *nnz, const int fr, const int lr)
void blas_dusget_rows_sparse_ (blas_sparse_matrix *A, double *VA, int *IA, int *JA, int *nnz, const int *fr, const int *lr, int *istat)
int BLAS_cusget_rows_sparse (blas_sparse_matrix A, void *VA, int *IA, int *JA, int *nnz, const int fr, const int lr)
void blas_cusget_rows_sparse_ (blas_sparse_matrix *A, void *VA, int *IA, int *JA, int *nnz, const int *fr, const int *lr, int *istat)
int BLAS_zusget_rows_sparse (blas_sparse_matrix A, void *VA, int *IA, int *JA, int *nnz, const int fr, const int lr)
void blas_zusget_rows_sparse_ (blas_sparse_matrix *A, void *VA, int *IA, int *JA, int *nnz, const int *fr, const int *lr, int *istat)
int BLAS_susget_matrix_nnz (blas_sparse_matrix A, int *nnz)
void blas_susget_matrix_nnz_ (blas_sparse_matrix *A, int *nnz, int *istat)
int BLAS_dusget_matrix_nnz (blas_sparse_matrix A, int *nnz)
void blas_dusget_matrix_nnz_ (blas_sparse_matrix *A, int *nnz, int *istat)
int BLAS_cusget_matrix_nnz (blas_sparse_matrix A, int *nnz)
void blas_cusget_matrix_nnz_ (blas_sparse_matrix *A, int *nnz, int *istat)
int BLAS_zusget_matrix_nnz (blas_sparse_matrix A, int *nnz)
void blas_zusget_matrix_nnz_ (blas_sparse_matrix *A, int *nnz, int *istat)
int BLAS_susget_infinity_norm (blas_sparse_matrix A, float *in, const enum blas_trans_type trans)
void blas_susget_infinity_norm_ (blas_sparse_matrix *A, float *in, const enum blas_trans_type *trans, int *istat)
int BLAS_dusget_infinity_norm (blas_sparse_matrix A, double *in, const enum blas_trans_type trans)
void blas_dusget_infinity_norm_ (blas_sparse_matrix *A, double *in, const enum blas_trans_type *trans, int *istat)
int BLAS_cusget_infinity_norm (blas_sparse_matrix A, void *in, const enum blas_trans_type trans)
void blas_cusget_infinity_norm_ (blas_sparse_matrix *A, void *in, const enum blas_trans_type *trans, int *istat)
int BLAS_zusget_infinity_norm (blas_sparse_matrix A, void *in, const enum blas_trans_type trans)
void blas_zusget_infinity_norm_ (blas_sparse_matrix *A, void *in, const enum blas_trans_type *trans, int *istat)
int BLAS_susset_elements (blas_sparse_matrix A, const int *ia, const int *ja, const float *va, const int nnz)
void blas_susset_elements_ (blas_sparse_matrix *A, const int *ia, const int *ja, const float *va, const int *nnz, int *istat)
int BLAS_dusset_elements (blas_sparse_matrix A, const int *ia, const int *ja, const double *va, const int nnz)
void blas_dusset_elements_ (blas_sparse_matrix *A, const int *ia, const int *ja, const double *va, const int *nnz, int *istat)
int BLAS_cusset_elements (blas_sparse_matrix A, const int *ia, const int *ja, const void *va, const int nnz)
void blas_cusset_elements_ (blas_sparse_matrix *A, const int *ia, const int *ja, const void *va, const int *nnz, int *istat)
int BLAS_zusset_elements (blas_sparse_matrix A, const int *ia, const int *ja, const void *va, const int nnz)
void blas_zusset_elements_ (blas_sparse_matrix *A, const int *ia, const int *ja, const void *va, const int *nnz, int *istat)
int BLAS_susset_element (blas_sparse_matrix A, const int i, const int j, float *v)
void blas_susset_element_ (blas_sparse_matrix *A, const int *i, const int *j, float *v, int *istat)
int BLAS_dusset_element (blas_sparse_matrix A, const int i, const int j, double *v)
void blas_dusset_element_ (blas_sparse_matrix *A, const int *i, const int *j, double *v, int *istat)
int BLAS_cusset_element (blas_sparse_matrix A, const int i, const int j, void *v)
void blas_cusset_element_ (blas_sparse_matrix *A, const int *i, const int *j, void *v, int *istat)
int BLAS_zusset_element (blas_sparse_matrix A, const int i, const int j, void *v)
void blas_zusset_element_ (blas_sparse_matrix *A, const int *i, const int *j, void *v, int *istat)
int BLAS_susget_element (blas_sparse_matrix A, const int i, const int j, float *v)
void blas_susget_element_ (blas_sparse_matrix *A, const int *i, const int *j, float *v, int *istat)
int BLAS_dusget_element (blas_sparse_matrix A, const int i, const int j, double *v)
void blas_dusget_element_ (blas_sparse_matrix *A, const int *i, const int *j, double *v, int *istat)
int BLAS_cusget_element (blas_sparse_matrix A, const int i, const int j, void *v)
void blas_cusget_element_ (blas_sparse_matrix *A, const int *i, const int *j, void *v, int *istat)
int BLAS_zusget_element (blas_sparse_matrix A, const int i, const int j, void *v)
void blas_zusget_element_ (blas_sparse_matrix *A, const int *i, const int *j, void *v, int *istat)
int BLAS_usgp (blas_sparse_matrix A, rsb_blas_pname_t pname)
void blas_usgp_ (blas_sparse_matrix *A, rsb_blas_pname_t *pname, int *istat)
void blas_ussp_ (blas_sparse_matrix *A, rsb_blas_pname_t *pname, int *istat)
int BLAS_ussp (blas_sparse_matrix A, rsb_blas_pname_t pname)
blas_sparse_matrix rsb_blas_file_mtx_load (const rsb_char_t *filename, rsb_type_t typecode)
struct rsb_mtx_t * rsb_blas_get_mtx (blas_sparse_matrix A)

Detailed Description

A Sparse BLAS interface (see http://www.netlib.org/blas/blast-forum/) to librsb. Level 1 (vector-vector operations) is supported in a basic way. Level 2 (sparse matrix-dense vector operations) is supported fully. Level 3 (sparse matrix-dense matrix operations) is supported as a wrapper around Level 2. We also implement a number of useful extra functions as custom extensions, giving access to other librsb functionality.

The usage pattern of this interface matches that of the Sparse BLAS standard, exception made for the necessity of initialization/finalization of librsb. The Sparse BLAS interface is also available for Fortran: see rsb_blas_sparse.F90.

The user should be aware of the following:
•   Because this Sparse BLAS implementation is built around librsb, initialization with rsb_lib_init() and finalization with rsb_lib_exit() is necessary. Inclusion of the rsb.h header is necessary.
•   librsb gives users freedom of in/out arbitrarily BLAS types support at configure/build time. Hence, while all the interface functions are always included the Sparse BLAS header file, they may return an error code. Be sure of having configured correctly the library at configure time (and see the blas_sparse.h header file for types configured in the current build).
•   According to the standard, the complex type functions for C accept scalar values by reference rather than by copy; equivalent functions for other types do not do so, so this may cause confusion. Be careful.
•   Error checking is weak; so for instance, passing a function the handle of a matrix of mismatching type will not be detected as an error, although it's incorrect.
•   According to the standard, VBR and BCSR styled constructors are supported, although these are interfaces for librsb's own matrix representation.
•   Here functions for both Fortran and C are listed. The Fortran functions are declared and documented with the C notation. We may provide a better documentation in a future release.
•   Each identifier documented here suffixed by _ (e.g.: blas_susdot_()) can be used from Fortran with the name stripped by that suffix (so in this case, blas_susdot). We may provide a proper fix to this inconvenience in a subsequent release.
•   Each Fortran program using librsb's Sparse BLAS Implementation shall use modules blas_sparse and rsb.
•   Also Fortran programs have to call rsb_lib_init() and rsb_lib_exit() e.g.:
        USE blas_sparse             ! module implementing the Sparse BLAS on the top of librsb
        USE rsb                     ! rsb module
        ...
        INTEGER :: istat            ! integer variable
        ...
        istat = rsb_lib_init(RSB_NULL_INIT_OPTIONS) ! please note that this is not part of Sparse BLAS but it is needed by librsb
        if(istat.NE.0)STOP          ! a value different than zero signals an error
        ...
        ! code calling Sparse BLAS routines
        ...
        istat = rsb_lib_exit(RSB_NULL_EXIT_OPTIONS) ! please note that this is not part of Sparse BLAS but it is needed by librsb
        if(istat.NE.0)STOP          ! a value different than zero signals an error
        ...

•   For Fortran, more procedures exist, although they are not documented here. According to the Sparse BLAS (http://www.netlib.org/blas/blast-forum/), for almost each subroutine whose identifier prefixed with blas_X (with X being one of S,D,C,Z), a corresponding generic modern Fortran version exists. Please note how not all of the certain procedures identifier prefixes include the type character.
E.g.:
! the following code ('d' stays for 'double precision'):
CALL blas_duscr_begin(nr,nc,A,istat)
CALL blas_ussp(A,blas_lower_symmetric,istat)
CALL blas_duscr_insert_entries(A,nnz,VA,IA,JA,istat)
CALL blas_duscr_end(A,istat)
CALL blas_dusmv(transT,alpha,A,X,incX,B,incB,istat)
CALL blas_dusds(A,istat)
! is equivalent to:
CALL duscr_begin(nr,nc,A,istat) ! here, 'd' must be retained for avoiding ambiguity
CALL ussp(A,blas_lower_symmetric,istat)
CALL uscr_insert_entries(A,nnz,VA,IA,JA,istat)
CALL uscr_end(A,istat)
CALL usmv(transT,alpha,A,X,incX,B,incB,istat)
CALL usds(A,istat)

Function Documentation

  int BLAS_cusaxpy (const int nnz, const void * alpha, const void * x, const int * indx, void * y, const int incy, const enum blas_base_type index_base)
Sparse vector update: $Y <- alpha X + Y$.
Parameters:
    y Array for $Y$ vector.
    x Array for $X$ vector.
    nnz Size of $X$ and $Y$ vectors.
    indx Is the array of indices at which sparse vector $X$ will be accessed.
    index_base Specifies the contents of indx, either blas_one_base or blas_one_base.
    incy The distance between consecutive y array elements.
    alpha Will scale values of $X$ before accumulating to $Y$.
Returns:
    On success, 0 is returned; on error, -1.
Warning:
    Sparse BLAS Level 1 has been implemented, although not with performance in mind.

  void blas_cusaxpy_ (const int * nnz, const void * alpha, const void * x, const int * indx, void * y, const int * incy, const enum blas_base_type * index_base, int * istat)
Sparse vector update: $Y <- alpha X + Y$.
Parameters:
    y Array for $Y$ vector.
    x Array for $X$ vector.
    nnz Size of $X$ and $Y$ vectors.
    indx Is the array of indices at which sparse vector $X$ will be accessed.
    index_base Specifies the contents of indx, either blas_one_base or blas_one_base.
    incy The distance between consecutive y array elements.
    alpha Will scale values of $X$ before accumulating to $Y$.
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.
Warning:
    Sparse BLAS Level 1 has been implemented, although not with performance in mind.

  blas_sparse_matrix BLAS_cuscr_begin (int m, int n)
Allocates an empty matrix (A) and leaves it in build state.
Parameters:
    m Is the count of rows.
    n Is the count of columns.
Returns:
    A matrix handle in case of success, or -1 on error.

  void blas_cuscr_begin_ (int * m, int * n, blas_sparse_matrix * A, int * istat)
Allocates an empty matrix (A) and leaves it in build state.
Parameters:
    m Is the count of rows.
    n Is the count of columns.
    A A valid pointer to an empty matrix handle.
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value. Will assign a valid matrix handle to $A$ in case of success, or set it to -1 on error.

  blas_sparse_matrix BLAS_cuscr_block_begin (int Mb, int Nb, int k, int l)
Allocates an empty matrix (A) and leaves it in build state.
Parameters:
    k,l Are row and column dimensions when specifying a matrix as BCSR.
    Mb Block rows count.
    Nb Block columns count.
Returns:
    A matrix handle in case of success, or -1 on error.

  void blas_cuscr_block_begin_ (int * Mb, int * Nb, int * k, int * l, blas_sparse_matrix * A, int * istat)
Allocates an empty matrix (A) and leaves it in build state.
Parameters:
    k,l Are row and column dimensions when specifying a matrix as BCSR.
    Mb Block rows count.
    Nb Block columns count.
    A A valid pointer to an empty matrix handle.
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value. Will assign a valid matrix handle to $A$ in case of success, or set it to -1 on error.

  int BLAS_cuscr_end (blas_sparse_matrix A)
Makes an assembled matrix out of a matrix in build state. After this, it is not possible anymore to insert nonzeroes, but computational routines.
Parameters:
    A A valid matrix handle.
Returns:
    On success, 0 is returned; on error, -1.

  void blas_cuscr_end_ (blas_sparse_matrix * A, int * istat)
Makes an assembled matrix out of a matrix in build state. After this, it is not possible anymore to insert nonzeroes, but computational routines.
Parameters:
    A A valid matrix handle.
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  int BLAS_cuscr_insert_block (blas_sparse_matrix A, const void * val, int row_stride, int col_stride, int i, int j)
Inserts a whole block in a matrix, assuming it is in build state. The block size is assumed to be the one specified when calling the (type) corresponding matrix blocked begin function. If not called a blocked begin function, will assume 1x1 (that is, no) blocking. By default, duplicate entries will be summed together.
Parameters:
    A A valid matrix handle.
    val Array of values.
    row_stride,col_stride Row and column strides in accessing val.
    i,j Block row/column indices.
Warning:
    Signature of this routine for Fortran does not agree to the standard. This shall be corrected in a future release.
See also:
    BLAS_cuscr_block_begin, BLAS_cuscr_block_begin, BLAS_duscr_block_begin, BLAS_zuscr_block_begin, BLAS_cuscr_begin, BLAS_suscr_begin, BLAS_duscr_begin, BLAS_zuscr_begin.
Returns:
    On success, 0 is returned; on error, -1.

  void blas_cuscr_insert_block_ (blas_sparse_matrix * A, const void * val, int * row_stride, int * col_stride, int * i, int * j, int * istat)
Inserts a whole block in a matrix, assuming it is in build state. The block size is assumed to be the one specified when calling the (type) corresponding matrix blocked begin function. If not called a blocked begin function, will assume 1x1 (that is, no) blocking. By default, duplicate entries will be summed together.
Parameters:
    A A valid matrix handle.
    val Array of values.
    row_stride,col_stride Row and column strides in accessing val.
    i,j Block row/column indices.
Warning:
    Signature of this routine for Fortran does not agree to the standard. This shall be corrected in a future release.
See also:
    BLAS_cuscr_block_begin, BLAS_cuscr_block_begin, BLAS_duscr_block_begin, BLAS_zuscr_block_begin, BLAS_cuscr_begin, BLAS_suscr_begin, BLAS_duscr_begin, BLAS_zuscr_begin.
Parameters:
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  int BLAS_cuscr_insert_clique (blas_sparse_matrix A, const int k, const int l, const void * val, const int row_stride, const int col_stride, const int * indx, const int * jndx)
Inserts a whole clique in a matrix, assuming this is in build state. By default, duplicate entries will be summed together.
Parameters:
    A A valid matrix handle.
    k,l Clique rows and columns count.
    val Array of values.
    row_stride,col_stride Row/columns stride in accessing the clique.
    indx,jndx Row/column indices arrays.
Warning:
    Signature of this routine for Fortran does not agree to the standard. This shall be corrected in a future release.
Returns:
    On success, 0 is returned; on error, -1.

  void blas_cuscr_insert_clique_ (blas_sparse_matrix * A, const int * k, const int * l, const void * val, const int * row_stride, const int * col_stride, const int * indx, const int * jndx, int * istat)
Inserts a whole clique in a matrix, assuming this is in build state. By default, duplicate entries will be summed together.
Parameters:
    A A valid matrix handle.
    k,l Clique rows and columns count.
    val Array of values.
    row_stride,col_stride Row/columns stride in accessing the clique.
    indx,jndx Row/column indices arrays.
Warning:
    Signature of this routine for Fortran does not agree to the standard. This shall be corrected in a future release.
Parameters:
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  int BLAS_cuscr_insert_col (blas_sparse_matrix A, int j, int nnz, const void * val, const int * indx)
Inserts a whole column in a matrix, assuming it is in build state. By default, duplicate entries will be summed together.
Parameters:
    A A valid matrix handle.
    j Column index.
    nnz Number of nonzeroes to insert.
    val Array of values.
    indx Row indices array.
Returns:
    On success, 0 is returned; on error, -1.

  void blas_cuscr_insert_col_ (blas_sparse_matrix * A, int * j, int * nnz, const void * val, const int * indx, int * istat)
Inserts a whole column in a matrix, assuming it is in build state. By default, duplicate entries will be summed together.
Parameters:
    A A valid matrix handle.
    j Column index.
    nnz Number of nonzeroes to insert.
    val Array of values.
    indx Row indices array.
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  int BLAS_cuscr_insert_entries (blas_sparse_matrix A, int nnz, const void * val, const int * indx, const int * jndx)
Inserts entries in a matrix, assuming it is in build state. By default, duplicate entries will be summed together.
Parameters:
    A A valid matrix handle.
    nnz Number of nonzeroes to insert.
    val Array of values.
    indx Row indices array.
    jndx Column indices array.
Returns:
    On success, 0 is returned; on error, -1.

  void blas_cuscr_insert_entries_ (blas_sparse_matrix * A, int * nnz, const void * val, const int * indx, const int * jndx, int * istat)
Inserts entries in a matrix, assuming it is in build state. By default, duplicate entries will be summed together.
Parameters:
    A A valid matrix handle.
    nnz Number of nonzeroes to insert.
    val Array of values.
    indx Row indices array.
    jndx Column indices array.
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  int BLAS_cuscr_insert_entry (blas_sparse_matrix A, const void * val, int i, int j)
Inserts an entry in a matrix, assuming it is in build state. By default, duplicate entries will be summed together.
Parameters:
    A A valid matrix handle.
    val Array of values.
    val Array of values.
    i,j Row and column indices.
Returns:
    On success, 0 is returned; on error, -1.

  void blas_cuscr_insert_entry_ (blas_sparse_matrix * A, const void * val, int * i, int * j, int * istat)
Inserts an entry in a matrix, assuming it is in build state. By default, duplicate entries will be summed together.
Parameters:
    A A valid matrix handle.
    val Array of values.
    val Array of values.
    i,j Row and column indices.
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  int BLAS_cuscr_insert_row (blas_sparse_matrix A, int i, int nnz, const void * val, const int * indx)
Inserts a whole row in a matrix, assuming it is in build state. By default, duplicate entries will be summed together.
Parameters:
    A A valid matrix handle.
    i Row index.
    nnz Number of nonzeroes to insert.
    val Array of values.
    indx Row index.
Returns:
    On success, 0 is returned; on error, -1.

  void blas_cuscr_insert_row_ (blas_sparse_matrix * A, int * i, int * nnz, const void * val, const int * indx, int * istat)
Inserts a whole row in a matrix, assuming it is in build state. By default, duplicate entries will be summed together.
Parameters:
    A A valid matrix handle.
    i Row index.
    nnz Number of nonzeroes to insert.
    val Array of values.
    indx Row index.
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  blas_sparse_matrix BLAS_cuscr_variable_block_begin (int Mb, int Nb, const int * K, const int * L)
Allocates an empty matrix (A) and leaves it in build state.
Parameters:
    K,L Are arrays specifying row/column block sizes when specifying a matrix as VBR.
    Mb Block rows count.
    Nb Block columns count.
Returns:
    A matrix handle in case of success, or -1 on error.

  void blas_cuscr_variable_block_begin_ (int * Mb, int * Nb, const int * K, const int * L, blas_sparse_matrix * A, int * istat)
Allocates an empty matrix (A) and leaves it in build state.
Parameters:
    K,L Are arrays specifying row/column block sizes when specifying a matrix as VBR.
    Mb Block rows count.
    Nb Block columns count.
    A A valid pointer to an empty matrix handle.
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value. Will assign a valid matrix handle to $A$ in case of success, or set it to -1 on error.

  int BLAS_cusdot (const enum blas_conj_type conj, const int nnz, const void * x, const int * indx, const void * y, const int incy, void * r, const enum blas_base_type index_base)
Sparse dot product. $r <- X^T Y,$ $r <- X^H Y$
Parameters:
    r Sparse dot result array.
    y Array for $Y$ vector.
    x Array for $X$ vector.
    nnz Size of $X$ and $Y$ vectors.
    indx Is the array of indices at which sparse vector $X$ will be accessed.
    index_base Specifies the contents of indx, either blas_one_base or blas_one_base.
    incy The distance between consecutive y array elements.
    conj If blas_conj, values of X will be considered conjugated.
Returns:
    On success, 0 is returned; on error, -1.
Warning:
    Sparse BLAS Level 1 has been implemented, although not with performance in mind.

  void blas_cusdot_ (const enum blas_conj_type * conj, const int * nnz, const void * x, const int * indx, const void * y, const int * incy, void * r, const enum blas_base_type * index_base, int * istat)
Sparse dot product. $r <- X^T Y,$ $r <- X^H Y$
Parameters:
    r Sparse dot result array.
    y Array for $Y$ vector.
    x Array for $X$ vector.
    nnz Size of $X$ and $Y$ vectors.
    indx Is the array of indices at which sparse vector $X$ will be accessed.
    index_base Specifies the contents of indx, either blas_one_base or blas_one_base.
    incy The distance between consecutive y array elements.
    conj If blas_conj, values of X will be considered conjugated.
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.
Warning:
    Sparse BLAS Level 1 has been implemented, although not with performance in mind.

  int BLAS_cusga (const int nnz, const void * y, const int incy, void * x, const int * indx, const enum blas_base_type index_base)
Sparse gather. $X <- Y |_x$.
Parameters:
    y Array for $Y$ vector.
    x Array for $X$ vector.
    nnz Size of $X$ and $Y$ vectors.
    indx Is the array of indices at which sparse vector $X$ will be accessed.
    index_base Specifies the contents of indx, either blas_one_base or blas_one_base.
    incy The distance between consecutive y array elements..
Returns:
    On success, 0 is returned; on error, -1.
Warning:
    Sparse BLAS Level 1 has been implemented, although not with performance in mind.

  void blas_cusga_ (const int * nnz, const void * y, const int * incy, void * x, const int * indx, const enum blas_base_type * index_base, int * istat)
Sparse gather. $X <- Y |_x$.
Parameters:
    y Array for $Y$ vector.
    x Array for $X$ vector.
    nnz Size of $X$ and $Y$ vectors.
    indx Is the array of indices at which sparse vector $X$ will be accessed.
    index_base Specifies the contents of indx, either blas_one_base or blas_one_base.
    incy The distance between consecutive y array elements..
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.
Warning:
    Sparse BLAS Level 1 has been implemented, although not with performance in mind.

  int BLAS_cusget_diag (blas_sparse_matrix A, void * d)
Get matrix diagonal. $d <- diag(A)$.
Parameters:
    A A valid matrix handle.
    d Array for the diagonal entries.
Note:
    This function is an extension implemented by librsb and thus it is not part of the standard. Do not rely on it, as it may change! Please contact the library maintainers if you need its functionality.
Returns:
    On success, 0 is returned; on error, -1.

  void blas_cusget_diag_ (blas_sparse_matrix * A, void * d, int * istat)
Get matrix diagonal. $d <- diag(A)$.
Parameters:
    A A valid matrix handle.
    d Array for the diagonal entries.
Note:
    This function is an extension implemented by librsb and thus it is not part of the standard. Do not rely on it, as it may change! Please contact the library maintainers if you need its functionality.
Parameters:
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  int BLAS_cusget_element (blas_sparse_matrix A, const int i, const int j, void * v)
Get a single matrix nonzero coefficient $A_{i,j}$.
Parameters:
    A A valid matrix handle.
    i Row index.
    j Column index.
    v Value pointer.
Note:
    This function is an extension implemented by librsb and thus it is not part of the standard. Do not rely on it, as it may change! Please contact the library maintainers if you need its functionality.
Returns:
    On success, 0 is returned; on error, -1.

  void blas_cusget_element_ (blas_sparse_matrix * A, const int * i, const int * j, void * v, int * istat)
Get a single matrix nonzero coefficient $A_{i,j}$.
Parameters:
    A A valid matrix handle.
    i Row index.
    j Column index.
    v Value pointer.
Note:
    This function is an extension implemented by librsb and thus it is not part of the standard. Do not rely on it, as it may change! Please contact the library maintainers if you need its functionality.
Parameters:
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  int BLAS_cusget_infinity_norm (blas_sparse_matrix A, void * in, const enum blas_trans_type trans)
Get infinity norm of matrix.
Parameters:
    A A valid matrix handle.
    in Infinity norm pointer.
    trans Transposition parameter.
Note:
    This function is an extension implemented by librsb and thus it is not part of the standard. Do not rely on it, as it may change! Please contact the library maintainers if you need its functionality.
Returns:
    On success, 0 is returned; on error, -1.

  void blas_cusget_infinity_norm_ (blas_sparse_matrix * A, void * in, const enum blas_trans_type * trans, int * istat)
Get infinity norm of matrix.
Parameters:
    A A valid matrix handle.
    in Infinity norm pointer.
    trans Transposition parameter.
Note:
    This function is an extension implemented by librsb and thus it is not part of the standard. Do not rely on it, as it may change! Please contact the library maintainers if you need its functionality.
Parameters:
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  int BLAS_cusget_matrix_nnz (blas_sparse_matrix A, int * nnz)
Get nnz count of matrix.
Parameters:
    A A valid matrix handle.
    nnz Output value pointer.
Note:
    This function is an extension implemented by librsb and thus it is not part of the standard. Do not rely on it, as it may change! Please contact the library maintainers if you need its functionality.
Returns:
    On success, 0 is returned; on error, -1.

  void blas_cusget_matrix_nnz_ (blas_sparse_matrix * A, int * nnz, int * istat)
Get nnz count of matrix.
Parameters:
    A A valid matrix handle.
    nnz Output value pointer.
Note:
    This function is an extension implemented by librsb and thus it is not part of the standard. Do not rely on it, as it may change! Please contact the library maintainers if you need its functionality.
Parameters:
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  int BLAS_cusget_rows_nnz (blas_sparse_matrix A, const int fr, const int lr, int * nnzp)
Get nnz count of matrix row interval.
Parameters:
    A A valid matrix handle.
    fr First row.
    lr Last row.
    nnzp Pointer to the nonzeroes variable.
Note:
    This function is an extension implemented by librsb and thus it is not part of the standard. Do not rely on it, as it may change! Please contact the library maintainers if you need its functionality.
Returns:
    On success, 0 is returned; on error, -1.

  void blas_cusget_rows_nnz_ (blas_sparse_matrix * A, const int * fr, const int * lr, int * nnzp, int * istat)
Get nnz count of matrix row interval.
Parameters:
    A A valid matrix handle.
    fr First row.
    lr Last row.
    nnzp Pointer to the nonzeroes variable.
Note:
    This function is an extension implemented by librsb and thus it is not part of the standard. Do not rely on it, as it may change! Please contact the library maintainers if you need its functionality.
Parameters:
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  int BLAS_cusget_rows_sparse (blas_sparse_matrix A, void * VA, int * IA, int * JA, int * nnz, const int fr, const int lr)
Get sparse rows of matrix.
Parameters:
    A A valid matrix handle.
    VA pointer to values.
    IA Row indices array.
    JA Column indices array.
    nnz Obtained nonzeroes.
    fr first row.
    lr Last row.
Note:
    This function is an extension implemented by librsb and thus it is not part of the standard. Do not rely on it, as it may change! Please contact the library maintainers if you need its functionality.
Returns:
    On success, 0 is returned; on error, -1.

  void blas_cusget_rows_sparse_ (blas_sparse_matrix * A, void * VA, int * IA, int * JA, int * nnz, const int * fr, const int * lr, int * istat)
Get sparse rows of matrix.
Parameters:
    A A valid matrix handle.
    VA pointer to values.
    IA Row indices array.
    JA Column indices array.
    nnz Obtained nonzeroes.
    fr first row.
    lr Last row.
Note:
    This function is an extension implemented by librsb and thus it is not part of the standard. Do not rely on it, as it may change! Please contact the library maintainers if you need its functionality.
Parameters:
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  int BLAS_cusgz (const int nnz, void * y, const int incy, void * x, const int * indx, const enum blas_base_type index_base)
Sparse gather and zero. $X <- Y |_x;Y|_x <- 0$.
Parameters:
    y Array for $Y$ vector.
    x Array for $X$ vector.
    nnz Size of $X$ and $Y$ vectors.
    indx Is the array of indices at which sparse vector $X$ will be accessed.
    index_base Specifies the contents of indx, either blas_one_base or blas_one_base.
    incy The distance between consecutive y array elements..
Returns:
    On success, 0 is returned; on error, -1.
Warning:
    Sparse BLAS Level 1 has been implemented, although not with performance in mind.

  void blas_cusgz_ (const int * nnz, void * y, const int * incy, void * x, const int * indx, const enum blas_base_type * index_base, int * istat)
Sparse gather and zero. $X <- Y |_x;Y|_x <- 0$.
Parameters:
    y Array for $Y$ vector.
    x Array for $X$ vector.
    nnz Size of $X$ and $Y$ vectors.
    indx Is the array of indices at which sparse vector $X$ will be accessed.
    index_base Specifies the contents of indx, either blas_one_base or blas_one_base.
    incy The distance between consecutive y array elements..
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.
Warning:
    Sparse BLAS Level 1 has been implemented, although not with performance in mind.

  int BLAS_cusmm (const enum blas_order_type order, const enum blas_trans_type transA, const int nrhs, const void * alpha, const blas_sparse_matrix A, const void * b, const int ldb, void * c, const int ldc)
Multiply by a dense matrix (aka multi-vector). Either of $C <- alpha AB+C,$ $C <- alpha A^T B+C,$ $C <- alpha A^H B+C$, depending on the value of transA.
Parameters:
    order layour of the dense array.
    transA Transposition operator for matrix A.
    nrhs Number of right hand side columns.
    A A valid matrix handle.
    alpha Value for $ alpha $.
    b Dense vector b.
    ldb Leading dimension of b.
    c Dense vector c.
    ldc Leading dimension of c.
Note:
    By setting the blas_rsb_autotune_next_operation property via BLAS_ussp (at any time) the next multiplication routine call (either of BLAS_dusmv, BLAS_susmv, BLAS_zusmv, BLAS_cusmv, BLAS_dusmm, BLAS_susmm, BLAS_zusmm, BLAS_cusmm) will invoke autotuning before carrying out the effective operation. The tuning will take in account parameters like transposition, number of right hand sides, and scaling constants. By setting the blas_rsb_spmv_autotuning_on property via BLAS_ussp, the default number of executing threads for this matrix will be determined once, at matrix assembly time, and employed irrespective of the default threads count (different values for transposed and untransposed multiply). This can be overridden only by setting the RSB_NUM_THREADS environment variable.
See also:
    On the topic of autotuning, see also rsb_tune_spmm. If --enable-rsb-num-threads has been specified at configure time, the RSB_NUM_THREADS environment variable will override the number of executing threads specified by OMP_NUM_THREADS. (See also RSB_IO_WANT_EXECUTING_THREADS).
Returns:
    On success, 0 is returned; on error, -1.

  void blas_cusmm_ (const enum blas_order_type * order, const enum blas_trans_type * transA, const int * nrhs, const void * alpha, const blas_sparse_matrix * A, const void * b, const int * ldb, void * c, const int * ldc, int * istat)
Multiply by a dense matrix (aka multi-vector). Either of $C <- alpha AB+C,$ $C <- alpha A^T B+C,$ $C <- alpha A^H B+C$, depending on the value of transA.
Parameters:
    order layour of the dense array.
    transA Transposition operator for matrix A.
    nrhs Number of right hand side columns.
    A A valid matrix handle.
    alpha Value for $ alpha $.
    b Dense vector b.
    ldb Leading dimension of b.
    c Dense vector c.
    ldc Leading dimension of c.
Note:
    By setting the blas_rsb_autotune_next_operation property via BLAS_ussp (at any time) the next multiplication routine call (either of BLAS_dusmv, BLAS_susmv, BLAS_zusmv, BLAS_cusmv, BLAS_dusmm, BLAS_susmm, BLAS_zusmm, BLAS_cusmm) will invoke autotuning before carrying out the effective operation. The tuning will take in account parameters like transposition, number of right hand sides, and scaling constants. By setting the blas_rsb_spmv_autotuning_on property via BLAS_ussp, the default number of executing threads for this matrix will be determined once, at matrix assembly time, and employed irrespective of the default threads count (different values for transposed and untransposed multiply). This can be overridden only by setting the RSB_NUM_THREADS environment variable.
See also:
    On the topic of autotuning, see also rsb_tune_spmm. If --enable-rsb-num-threads has been specified at configure time, the RSB_NUM_THREADS environment variable will override the number of executing threads specified by OMP_NUM_THREADS. (See also RSB_IO_WANT_EXECUTING_THREADS).
Parameters:
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  int BLAS_cusmv (const enum blas_trans_type transA, const void * alpha, const blas_sparse_matrix A, const void * x, const int incx, void * y, const int incy)
Multiply by a dense vector. Either of $Y <- alpha A X + Y ,$ $Y <- alpha A^T X + Y,$ $Y <- alpha A^H X + Y$, depending on the value of transA.
Parameters:
    transA Transposition operator for matrix A.
    alpha Value for $ alpha $.
    A A valid matrix handle.
    x Dense vector x.
    incx Stride of x.
    y Dense vector y.
    incy Stride of y.
Note:
    By setting the blas_rsb_autotune_next_operation property via BLAS_ussp (at any time) the next multiplication routine call (either of BLAS_dusmv, BLAS_susmv, BLAS_zusmv, BLAS_cusmv, BLAS_dusmm, BLAS_susmm, BLAS_zusmm, BLAS_cusmm) will invoke autotuning before carrying out the effective operation. The tuning will take in account parameters like transposition, number of right hand sides, and scaling constants. By setting the blas_rsb_spmv_autotuning_on property via BLAS_ussp, the default number of executing threads for this matrix will be determined once, at matrix assembly time, and employed irrespective of the default threads count (different values for transposed and untransposed multiply). This can be overridden only by setting the RSB_NUM_THREADS environment variable.
See also:
    On the topic of autotuning, see also rsb_tune_spmm. If --enable-rsb-num-threads has been specified at configure time, the RSB_NUM_THREADS environment variable will override the number of executing threads specified by OMP_NUM_THREADS. (See also RSB_IO_WANT_EXECUTING_THREADS).
Returns:
    On success, 0 is returned; on error, -1.

  void blas_cusmv_ (const enum blas_trans_type * transA, const void * alpha, const blas_sparse_matrix * A, const void * x, const int * incx, void * y, const int * incy, int * istat)
Multiply by a dense vector. Either of $Y <- alpha A X + Y ,$ $Y <- alpha A^T X + Y,$ $Y <- alpha A^H X + Y$, depending on the value of transA.
Parameters:
    transA Transposition operator for matrix A.
    alpha Value for $ alpha $.
    A A valid matrix handle.
    x Dense vector x.
    incx Stride of x.
    y Dense vector y.
    incy Stride of y.
Note:
    By setting the blas_rsb_autotune_next_operation property via BLAS_ussp (at any time) the next multiplication routine call (either of BLAS_dusmv, BLAS_susmv, BLAS_zusmv, BLAS_cusmv, BLAS_dusmm, BLAS_susmm, BLAS_zusmm, BLAS_cusmm) will invoke autotuning before carrying out the effective operation. The tuning will take in account parameters like transposition, number of right hand sides, and scaling constants. By setting the blas_rsb_spmv_autotuning_on property via BLAS_ussp, the default number of executing threads for this matrix will be determined once, at matrix assembly time, and employed irrespective of the default threads count (different values for transposed and untransposed multiply). This can be overridden only by setting the RSB_NUM_THREADS environment variable.
See also:
    On the topic of autotuning, see also rsb_tune_spmm. If --enable-rsb-num-threads has been specified at configure time, the RSB_NUM_THREADS environment variable will override the number of executing threads specified by OMP_NUM_THREADS. (See also RSB_IO_WANT_EXECUTING_THREADS).
Parameters:
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  int BLAS_cusrows_scale (blas_sparse_matrix A, const void * d, const enum blas_trans_type trans)
Scale rows interval of matrix by specified factor.
Parameters:
    A A valid matrix handle.
    d Rows scaling vector.
    trans Transposition parameter (if transposed will scale columns).
Note:
    This function is an extension implemented by librsb and thus it is not part of the standard. Do not rely on it, as it may change! Please contact the library maintainers if you need its functionality.
Returns:
    On success, 0 is returned; on error, -1.

  void blas_cusrows_scale_ (blas_sparse_matrix * A, const void * d, const enum blas_trans_type * trans, int * istat)
Scale rows interval of matrix by specified factor.
Parameters:
    A A valid matrix handle.
    d Rows scaling vector.
    trans Transposition parameter (if transposed will scale columns).
Note:
    This function is an extension implemented by librsb and thus it is not part of the standard. Do not rely on it, as it may change! Please contact the library maintainers if you need its functionality.
Parameters:
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  int BLAS_cussc (const int nnz, const void * x, void * y, const int incy, const int * indx, const enum blas_base_type index_base)
Sparse scatter: $Y |_x <- X$.
Parameters:
    y Array for $Y$ vector.
    x Array for $X$ vector.
    nnz Size of $X$ and $Y$ vectors.
    indx Is the array of indices at which sparse vector $X$ will be accessed.
    index_base Specifies the contents of indx, either blas_one_base or blas_one_base.
    incy The distance between consecutive y array elements..
Returns:
    On success, 0 is returned; on error, -1.
Warning:
    Sparse BLAS Level 1 has been implemented, although not with performance in mind.

  void blas_cussc_ (const int * nnz, const void * x, void * y, const int * incy, const int * indx, const enum blas_base_type * index_base, int * istat)
Sparse scatter: $Y |_x <- X$.
Parameters:
    y Array for $Y$ vector.
    x Array for $X$ vector.
    nnz Size of $X$ and $Y$ vectors.
    indx Is the array of indices at which sparse vector $X$ will be accessed.
    index_base Specifies the contents of indx, either blas_one_base or blas_one_base.
    incy The distance between consecutive y array elements..
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.
Warning:
    Sparse BLAS Level 1 has been implemented, although not with performance in mind.

  int BLAS_cusset_element (blas_sparse_matrix A, const int i, const int j, void * v)
Set a single (existing) matrix nonzero coefficient $A_{i,j}$.
Parameters:
    A A valid matrix handle.
    i Row index.
    j Column index.
    v Value pointer.
Note:
    This function is an extension implemented by librsb and thus it is not part of the standard. Do not rely on it, as it may change! Please contact the library maintainers if you need its functionality.
Returns:
    On success, 0 is returned; on error, -1.

  void blas_cusset_element_ (blas_sparse_matrix * A, const int * i, const int * j, void * v, int * istat)
Set a single (existing) matrix nonzero coefficient $A_{i,j}$.
Parameters:
    A A valid matrix handle.
    i Row index.
    j Column index.
    v Value pointer.
Note:
    This function is an extension implemented by librsb and thus it is not part of the standard. Do not rely on it, as it may change! Please contact the library maintainers if you need its functionality.
Parameters:
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  int BLAS_cusset_elements (blas_sparse_matrix A, const int * ia, const int * ja, const void * va, const int nnz)
Set individual matrix nonzero coefficients values. The operation is pattern preserving, that is, nonzeroes must already exist.
Parameters:
    A A valid matrix handle.
    ia Row indices array.
    ja Column indices array.
    va Values array.
    nnz Length of the ia,ja,va arrays.
Note:
    This function is an extension implemented by librsb and thus it is not part of the standard. Do not rely on it, as it may change! Please contact the library maintainers if you need its functionality..
Returns:
    On success, 0 is returned; on error, -1.

  void blas_cusset_elements_ (blas_sparse_matrix * A, const int * ia, const int * ja, const void * va, const int * nnz, int * istat)
Set individual matrix nonzero coefficients values. The operation is pattern preserving, that is, nonzeroes must already exist.
Parameters:
    A A valid matrix handle.
    ia Row indices array.
    ja Column indices array.
    va Values array.
    nnz Length of the ia,ja,va arrays.
Note:
    This function is an extension implemented by librsb and thus it is not part of the standard. Do not rely on it, as it may change! Please contact the library maintainers if you need its functionality..
Parameters:
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  int BLAS_cussm (const enum blas_order_type order, const enum blas_trans_type transT, const int nrhs, const void * alpha, const blas_sparse_matrix T, void * b, const int ldb)
Triangular solve, by a dense matrix (aka multi-vector). Either of $B <- alpha T^{-1} B,$ $B <- alpha T^{-T} B,$ $B <- alpha T^{-H} B$, depending on the value of transT.
Parameters:
    order layour of the dense array.
    transT Transposition operator for matrix T.
    nrhs Number of right hand side columns.
    alpha Value for $ alpha $.
    T A valid triangular matrix handle.
    b Dense vector b.
    ldb Leading dimension of b.
Returns:
    On success, 0 is returned; on error, -1.

  void blas_cussm_ (const enum blas_order_type * order, const enum blas_trans_type * transT, const int * nrhs, const void * alpha, const blas_sparse_matrix * T, void * b, const int * ldb, int * istat)
Triangular solve, by a dense matrix (aka multi-vector). Either of $B <- alpha T^{-1} B,$ $B <- alpha T^{-T} B,$ $B <- alpha T^{-H} B$, depending on the value of transT.
Parameters:
    order layour of the dense array.
    transT Transposition operator for matrix T.
    nrhs Number of right hand side columns.
    alpha Value for $ alpha $.
    T A valid triangular matrix handle.
    b Dense vector b.
    ldb Leading dimension of b.
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  int BLAS_cussv (enum blas_trans_type transT, const void * alpha, const blas_sparse_matrix T, void * x, const int incx)
Triangular solve, by a dense vector. Either of $X <- alpha T^{-1}X,$ $X <- alpha T^{-T}X,$ $X <- alpha T^{-H}X$, depending on the value of transT.
Parameters:
    transT Transposition operator for matrix T.
    alpha Value for $ alpha $.
    T A valid triangular matrix handle.
    x Dense vector x.
    incx Stride of x.
Returns:
    On success, 0 is returned; on error, -1.

  void blas_cussv_ (enum blas_trans_type * transT, const void * alpha, const blas_sparse_matrix * T, void * x, const int * incx, int * istat)
Triangular solve, by a dense vector. Either of $X <- alpha T^{-1}X,$ $X <- alpha T^{-T}X,$ $X <- alpha T^{-H}X$, depending on the value of transT.
Parameters:
    transT Transposition operator for matrix T.
    alpha Value for $ alpha $.
    T A valid triangular matrix handle.
    x Dense vector x.
    incx Stride of x.
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  int BLAS_dusaxpy (const int nnz, double alpha, const double * x, const int * indx, double * y, const int incy, const enum blas_base_type index_base)
Sparse vector update: $Y <- alpha X + Y$.
Parameters:
    y Array for $Y$ vector.
    x Array for $X$ vector.
    nnz Size of $X$ and $Y$ vectors.
    indx Is the array of indices at which sparse vector $X$ will be accessed.
    index_base Specifies the contents of indx, either blas_one_base or blas_one_base.
    incy The distance between consecutive y array elements.
    alpha Will scale values of $X$ before accumulating to $Y$.
Returns:
    On success, 0 is returned; on error, -1.
Warning:
    Sparse BLAS Level 1 has been implemented, although not with performance in mind.

  void blas_dusaxpy_ (const int * nnz, double * alpha, const double * x, const int * indx, double * y, const int * incy, const enum blas_base_type * index_base, int * istat)
Sparse vector update: $Y <- alpha X + Y$.
Parameters:
    y Array for $Y$ vector.
    x Array for $X$ vector.
    nnz Size of $X$ and $Y$ vectors.
    indx Is the array of indices at which sparse vector $X$ will be accessed.
    index_base Specifies the contents of indx, either blas_one_base or blas_one_base.
    incy The distance between consecutive y array elements.
    alpha Will scale values of $X$ before accumulating to $Y$.
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.
Warning:
    Sparse BLAS Level 1 has been implemented, although not with performance in mind.

  blas_sparse_matrix BLAS_duscr_begin (int m, int n)
Allocates an empty matrix (A) and leaves it in build state.
Parameters:
    m Is the count of rows.
    n Is the count of columns.
Returns:
    A matrix handle in case of success, or -1 on error.

  void blas_duscr_begin_ (int * m, int * n, blas_sparse_matrix * A, int * istat)
Allocates an empty matrix (A) and leaves it in build state.
Parameters:
    m Is the count of rows.
    n Is the count of columns.
    A A valid pointer to an empty matrix handle.
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value. Will assign a valid matrix handle to $A$ in case of success, or set it to -1 on error.

  blas_sparse_matrix BLAS_duscr_block_begin (int Mb, int Nb, int k, int l)
Allocates an empty matrix (A) and leaves it in build state.
Parameters:
    k,l Are row and column dimensions when specifying a matrix as BCSR.
    Mb Block rows count.
    Nb Block columns count.
Returns:
    A matrix handle in case of success, or -1 on error.

  void blas_duscr_block_begin_ (int * Mb, int * Nb, int * k, int * l, blas_sparse_matrix * A, int * istat)
Allocates an empty matrix (A) and leaves it in build state.
Parameters:
    k,l Are row and column dimensions when specifying a matrix as BCSR.
    Mb Block rows count.
    Nb Block columns count.
    A A valid pointer to an empty matrix handle.
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value. Will assign a valid matrix handle to $A$ in case of success, or set it to -1 on error.

  int BLAS_duscr_end (blas_sparse_matrix A)
Makes an assembled matrix out of a matrix in build state. After this, it is not possible anymore to insert nonzeroes, but computational routines.
Parameters:
    A A valid matrix handle.
Returns:
    On success, 0 is returned; on error, -1.

  void blas_duscr_end_ (blas_sparse_matrix * A, int * istat)
Makes an assembled matrix out of a matrix in build state. After this, it is not possible anymore to insert nonzeroes, but computational routines.
Parameters:
    A A valid matrix handle.
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  int BLAS_duscr_insert_block (blas_sparse_matrix A, const double * val, int row_stride, int col_stride, int i, int j)
Inserts a whole block in a matrix, assuming it is in build state. The block size is assumed to be the one specified when calling the (type) corresponding matrix blocked begin function. If not called a blocked begin function, will assume 1x1 (that is, no) blocking. By default, duplicate entries will be summed together.
Parameters:
    A A valid matrix handle.
    val Array of values.
    row_stride,col_stride Row and column strides in accessing val.
    i,j Block row/column indices.
Warning:
    Signature of this routine for Fortran does not agree to the standard. This shall be corrected in a future release.
See also:
    BLAS_cuscr_block_begin, BLAS_cuscr_block_begin, BLAS_duscr_block_begin, BLAS_zuscr_block_begin, BLAS_cuscr_begin, BLAS_suscr_begin, BLAS_duscr_begin, BLAS_zuscr_begin.
Returns:
    On success, 0 is returned; on error, -1.

  void blas_duscr_insert_block_ (blas_sparse_matrix * A, const double * val, int * row_stride, int * col_stride, int * i, int * j, int * istat)
Inserts a whole block in a matrix, assuming it is in build state. The block size is assumed to be the one specified when calling the (type) corresponding matrix blocked begin function. If not called a blocked begin function, will assume 1x1 (that is, no) blocking. By default, duplicate entries will be summed together.
Parameters:
    A A valid matrix handle.
    val Array of values.
    row_stride,col_stride Row and column strides in accessing val.
    i,j Block row/column indices.
Warning:
    Signature of this routine for Fortran does not agree to the standard. This shall be corrected in a future release.
See also:
    BLAS_cuscr_block_begin, BLAS_cuscr_block_begin, BLAS_duscr_block_begin, BLAS_zuscr_block_begin, BLAS_cuscr_begin, BLAS_suscr_begin, BLAS_duscr_begin, BLAS_zuscr_begin.
Parameters:
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  int BLAS_duscr_insert_clique (blas_sparse_matrix A, const int k, const int l, const double * val, const int row_stride, const int col_stride, const int * indx, const int * jndx)
Inserts a whole clique in a matrix, assuming this is in build state. By default, duplicate entries will be summed together.
Parameters:
    A A valid matrix handle.
    k,l Clique rows and columns count.
    val Array of values.
    row_stride,col_stride Row/columns stride in accessing the clique.
    indx,jndx Row/column indices arrays.
Warning:
    Signature of this routine for Fortran does not agree to the standard. This shall be corrected in a future release.
Returns:
    On success, 0 is returned; on error, -1.

  void blas_duscr_insert_clique_ (blas_sparse_matrix * A, const int * k, const int * l, const double * val, const int * row_stride, const int * col_stride, const int * indx, const int * jndx, int * istat)
Inserts a whole clique in a matrix, assuming this is in build state. By default, duplicate entries will be summed together.
Parameters:
    A A valid matrix handle.
    k,l Clique rows and columns count.
    val Array of values.
    row_stride,col_stride Row/columns stride in accessing the clique.
    indx,jndx Row/column indices arrays.
Warning:
    Signature of this routine for Fortran does not agree to the standard. This shall be corrected in a future release.
Parameters:
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  int BLAS_duscr_insert_col (blas_sparse_matrix A, int j, int nnz, const double * val, const int * indx)
Inserts a whole column in a matrix, assuming it is in build state. By default, duplicate entries will be summed together.
Parameters:
    A A valid matrix handle.
    j Column index.
    nnz Number of nonzeroes to insert.
    val Array of values.
    indx Row indices array.
Returns:
    On success, 0 is returned; on error, -1.

  void blas_duscr_insert_col_ (blas_sparse_matrix * A, int * j, int * nnz, const double * val, const int * indx, int * istat)
Inserts a whole column in a matrix, assuming it is in build state. By default, duplicate entries will be summed together.
Parameters:
    A A valid matrix handle.
    j Column index.
    nnz Number of nonzeroes to insert.
    val Array of values.
    indx Row indices array.
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  int BLAS_duscr_insert_entries (blas_sparse_matrix A, int nnz, const double * val, const int * indx, const int * jndx)
Inserts entries in a matrix, assuming it is in build state. By default, duplicate entries will be summed together.
Parameters:
    A A valid matrix handle.
    nnz Number of nonzeroes to insert.
    val Array of values.
    indx Row indices array.
    jndx Column indices array.
Returns:
    On success, 0 is returned; on error, -1.

  void blas_duscr_insert_entries_ (blas_sparse_matrix * A, int * nnz, const double * val, const int * indx, const int * jndx, int * istat)
Inserts entries in a matrix, assuming it is in build state. By default, duplicate entries will be summed together.
Parameters:
    A A valid matrix handle.
    nnz Number of nonzeroes to insert.
    val Array of values.
    indx Row indices array.
    jndx Column indices array.
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  int BLAS_duscr_insert_entry (blas_sparse_matrix A, double val, int i, int j)
Inserts an entry in a matrix, assuming it is in build state. By default, duplicate entries will be summed together.
Parameters:
    A A valid matrix handle.
    val Array of values.
    val Array of values.
    i,j Row and column indices.
Returns:
    On success, 0 is returned; on error, -1.

  void blas_duscr_insert_entry_ (blas_sparse_matrix * A, double * val, int * i, int * j, int * istat)
Inserts an entry in a matrix, assuming it is in build state. By default, duplicate entries will be summed together.
Parameters:
    A A valid matrix handle.
    val Array of values.
    val Array of values.
    i,j Row and column indices.
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  int BLAS_duscr_insert_row (blas_sparse_matrix A, int i, int nnz, const double * val, const int * indx)
Inserts a whole row in a matrix, assuming it is in build state. By default, duplicate entries will be summed together.
Parameters:
    A A valid matrix handle.
    i Row index.
    nnz Number of nonzeroes to insert.
    val Array of values.
    indx Row index.
Returns:
    On success, 0 is returned; on error, -1.

  void blas_duscr_insert_row_ (blas_sparse_matrix * A, int * i, int * nnz, const double * val, const int * indx, int * istat)
Inserts a whole row in a matrix, assuming it is in build state. By default, duplicate entries will be summed together.
Parameters:
    A A valid matrix handle.
    i Row index.
    nnz Number of nonzeroes to insert.
    val Array of values.
    indx Row index.
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  blas_sparse_matrix BLAS_duscr_variable_block_begin (int Mb, int Nb, const int * K, const int * L)
Allocates an empty matrix (A) and leaves it in build state.
Parameters:
    K,L Are arrays specifying row/column block sizes when specifying a matrix as VBR.
    Mb Block rows count.
    Nb Block columns count.
Returns:
    A matrix handle in case of success, or -1 on error.

  void blas_duscr_variable_block_begin_ (int * Mb, int * Nb, const int * K, const int * L, blas_sparse_matrix * A, int * istat)
Allocates an empty matrix (A) and leaves it in build state.
Parameters:
    K,L Are arrays specifying row/column block sizes when specifying a matrix as VBR.
    Mb Block rows count.
    Nb Block columns count.
    A A valid pointer to an empty matrix handle.
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value. Will assign a valid matrix handle to $A$ in case of success, or set it to -1 on error.

  int BLAS_dusdot (const enum blas_conj_type conj, const int nnz, const double * x, const int * indx, const double * y, const int incy, double * r, const enum blas_base_type index_base)
Sparse dot product. $r <- X^T Y,$ $r <- X^H Y$
Parameters:
    r Sparse dot result array.
    y Array for $Y$ vector.
    x Array for $X$ vector.
    nnz Size of $X$ and $Y$ vectors.
    indx Is the array of indices at which sparse vector $X$ will be accessed.
    index_base Specifies the contents of indx, either blas_one_base or blas_one_base.
    incy The distance between consecutive y array elements.
    conj If blas_conj, values of X will be considered conjugated.
Returns:
    On success, 0 is returned; on error, -1.
Warning:
    Sparse BLAS Level 1 has been implemented, although not with performance in mind.

  void blas_dusdot_ (const enum blas_conj_type * conj, const int * nnz, const double * x, const int * indx, const double * y, const int * incy, double * r, const enum blas_base_type * index_base, int * istat)
Sparse dot product. $r <- X^T Y,$ $r <- X^H Y$
Parameters:
    r Sparse dot result array.
    y Array for $Y$ vector.
    x Array for $X$ vector.
    nnz Size of $X$ and $Y$ vectors.
    indx Is the array of indices at which sparse vector $X$ will be accessed.
    index_base Specifies the contents of indx, either blas_one_base or blas_one_base.
    incy The distance between consecutive y array elements.
    conj If blas_conj, values of X will be considered conjugated.
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.
Warning:
    Sparse BLAS Level 1 has been implemented, although not with performance in mind.

  int BLAS_dusga (const int nnz, const double * y, const int incy, double * x, const int * indx, const enum blas_base_type index_base)
Sparse gather. $X <- Y |_x$.
Parameters:
    y Array for $Y$ vector.
    x Array for $X$ vector.
    nnz Size of $X$ and $Y$ vectors.
    indx Is the array of indices at which sparse vector $X$ will be accessed.
    index_base Specifies the contents of indx, either blas_one_base or blas_one_base.
    incy The distance between consecutive y array elements..
Returns:
    On success, 0 is returned; on error, -1.
Warning:
    Sparse BLAS Level 1 has been implemented, although not with performance in mind.

  void blas_dusga_ (const int * nnz, const double * y, const int * incy, double * x, const int * indx, const enum blas_base_type * index_base, int * istat)
Sparse gather. $X <- Y |_x$.
Parameters:
    y Array for $Y$ vector.
    x Array for $X$ vector.
    nnz Size of $X$ and $Y$ vectors.
    indx Is the array of indices at which sparse vector $X$ will be accessed.
    index_base Specifies the contents of indx, either blas_one_base or blas_one_base.
    incy The distance between consecutive y array elements..
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.
Warning:
    Sparse BLAS Level 1 has been implemented, although not with performance in mind.

  int BLAS_dusget_diag (blas_sparse_matrix A, double * d)
Get matrix diagonal. $d <- diag(A)$.
Parameters:
    A A valid matrix handle.
    d Array for the diagonal entries.
Note:
    This function is an extension implemented by librsb and thus it is not part of the standard. Do not rely on it, as it may change! Please contact the library maintainers if you need its functionality.
Returns:
    On success, 0 is returned; on error, -1.

  void blas_dusget_diag_ (blas_sparse_matrix * A, double * d, int * istat)
Get matrix diagonal. $d <- diag(A)$.
Parameters:
    A A valid matrix handle.
    d Array for the diagonal entries.
Note:
    This function is an extension implemented by librsb and thus it is not part of the standard. Do not rely on it, as it may change! Please contact the library maintainers if you need its functionality.
Parameters:
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  int BLAS_dusget_element (blas_sparse_matrix A, const int i, const int j, double * v)
Get a single matrix nonzero coefficient $A_{i,j}$.
Parameters:
    A A valid matrix handle.
    i Row index.
    j Column index.
    v Value pointer.
Note:
    This function is an extension implemented by librsb and thus it is not part of the standard. Do not rely on it, as it may change! Please contact the library maintainers if you need its functionality.
Returns:
    On success, 0 is returned; on error, -1.

  void blas_dusget_element_ (blas_sparse_matrix * A, const int * i, const int * j, double * v, int * istat)
Get a single matrix nonzero coefficient $A_{i,j}$.
Parameters:
    A A valid matrix handle.
    i Row index.
    j Column index.
    v Value pointer.
Note:
    This function is an extension implemented by librsb and thus it is not part of the standard. Do not rely on it, as it may change! Please contact the library maintainers if you need its functionality.
Parameters:
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  int BLAS_dusget_infinity_norm (blas_sparse_matrix A, double * in, const enum blas_trans_type trans)
Get infinity norm of matrix.
Parameters:
    A A valid matrix handle.
    in Infinity norm pointer.
    trans Transposition parameter.
Note:
    This function is an extension implemented by librsb and thus it is not part of the standard. Do not rely on it, as it may change! Please contact the library maintainers if you need its functionality.
Returns:
    On success, 0 is returned; on error, -1.

  void blas_dusget_infinity_norm_ (blas_sparse_matrix * A, double * in, const enum blas_trans_type * trans, int * istat)
Get infinity norm of matrix.
Parameters:
    A A valid matrix handle.
    in Infinity norm pointer.
    trans Transposition parameter.
Note:
    This function is an extension implemented by librsb and thus it is not part of the standard. Do not rely on it, as it may change! Please contact the library maintainers if you need its functionality.
Parameters:
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  int BLAS_dusget_matrix_nnz (blas_sparse_matrix A, int * nnz)
Get nnz count of matrix.
Parameters:
    A A valid matrix handle.
    nnz Output value pointer.
Note:
    This function is an extension implemented by librsb and thus it is not part of the standard. Do not rely on it, as it may change! Please contact the library maintainers if you need its functionality.
Returns:
    On success, 0 is returned; on error, -1.

  void blas_dusget_matrix_nnz_ (blas_sparse_matrix * A, int * nnz, int * istat)
Get nnz count of matrix.
Parameters:
    A A valid matrix handle.
    nnz Output value pointer.
Note:
    This function is an extension implemented by librsb and thus it is not part of the standard. Do not rely on it, as it may change! Please contact the library maintainers if you need its functionality.
Parameters:
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  int BLAS_dusget_rows_nnz (blas_sparse_matrix A, const int fr, const int lr, int * nnzp)
Get nnz count of matrix row interval.
Parameters:
    A A valid matrix handle.
    fr First row.
    lr Last row.
    nnzp Pointer to the nonzeroes variable.
Note:
    This function is an extension implemented by librsb and thus it is not part of the standard. Do not rely on it, as it may change! Please contact the library maintainers if you need its functionality.
Returns:
    On success, 0 is returned; on error, -1.

  void blas_dusget_rows_nnz_ (blas_sparse_matrix * A, const int * fr, const int * lr, int * nnzp, int * istat)
Get nnz count of matrix row interval.
Parameters:
    A A valid matrix handle.
    fr First row.
    lr Last row.
    nnzp Pointer to the nonzeroes variable.
Note:
    This function is an extension implemented by librsb and thus it is not part of the standard. Do not rely on it, as it may change! Please contact the library maintainers if you need its functionality.
Parameters:
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  int BLAS_dusget_rows_sparse (blas_sparse_matrix A, double * VA, int * IA, int * JA, int * nnz, const int fr, const int lr)
Get sparse rows of matrix.
Parameters:
    A A valid matrix handle.
    VA pointer to values.
    IA Row indices array.
    JA Column indices array.
    nnz Obtained nonzeroes.
    fr first row.
    lr Last row.
Note:
    This function is an extension implemented by librsb and thus it is not part of the standard. Do not rely on it, as it may change! Please contact the library maintainers if you need its functionality.
Returns:
    On success, 0 is returned; on error, -1.

  void blas_dusget_rows_sparse_ (blas_sparse_matrix * A, double * VA, int * IA, int * JA, int * nnz, const int * fr, const int * lr, int * istat)
Get sparse rows of matrix.
Parameters:
    A A valid matrix handle.
    VA pointer to values.
    IA Row indices array.
    JA Column indices array.
    nnz Obtained nonzeroes.
    fr first row.
    lr Last row.
Note:
    This function is an extension implemented by librsb and thus it is not part of the standard. Do not rely on it, as it may change! Please contact the library maintainers if you need its functionality.
Parameters:
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  int BLAS_dusgz (const int nnz, double * y, const int incy, double * x, const int * indx, const enum blas_base_type index_base)
Sparse gather and zero. $X <- Y |_x;Y|_x <- 0$.
Parameters:
    y Array for $Y$ vector.
    x Array for $X$ vector.
    nnz Size of $X$ and $Y$ vectors.
    indx Is the array of indices at which sparse vector $X$ will be accessed.
    index_base Specifies the contents of indx, either blas_one_base or blas_one_base.
    incy The distance between consecutive y array elements..
Returns:
    On success, 0 is returned; on error, -1.
Warning:
    Sparse BLAS Level 1 has been implemented, although not with performance in mind.

  void blas_dusgz_ (const int * nnz, double * y, const int * incy, double * x, const int * indx, const enum blas_base_type * index_base, int * istat)
Sparse gather and zero. $X <- Y |_x;Y|_x <- 0$.
Parameters:
    y Array for $Y$ vector.
    x Array for $X$ vector.
    nnz Size of $X$ and $Y$ vectors.
    indx Is the array of indices at which sparse vector $X$ will be accessed.
    index_base Specifies the contents of indx, either blas_one_base or blas_one_base.
    incy The distance between consecutive y array elements..
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.
Warning:
    Sparse BLAS Level 1 has been implemented, although not with performance in mind.

  int BLAS_dusmm (const enum blas_order_type order, const enum blas_trans_type transA, const int nrhs, double alpha, const blas_sparse_matrix A, const double * b, const int ldb, double * c, const int ldc)
Multiply by a dense matrix (aka multi-vector). Either of $C <- alpha AB+C,$ $C <- alpha A^T B+C,$ $C <- alpha A^H B+C$, depending on the value of transA.
Parameters:
    order layour of the dense array.
    transA Transposition operator for matrix A.
    nrhs Number of right hand side columns.
    A A valid matrix handle.
    alpha Value for $ alpha $.
    b Dense vector b.
    ldb Leading dimension of b.
    c Dense vector c.
    ldc Leading dimension of c.
Note:
    By setting the blas_rsb_autotune_next_operation property via BLAS_ussp (at any time) the next multiplication routine call (either of BLAS_dusmv, BLAS_susmv, BLAS_zusmv, BLAS_cusmv, BLAS_dusmm, BLAS_susmm, BLAS_zusmm, BLAS_cusmm) will invoke autotuning before carrying out the effective operation. The tuning will take in account parameters like transposition, number of right hand sides, and scaling constants. By setting the blas_rsb_spmv_autotuning_on property via BLAS_ussp, the default number of executing threads for this matrix will be determined once, at matrix assembly time, and employed irrespective of the default threads count (different values for transposed and untransposed multiply). This can be overridden only by setting the RSB_NUM_THREADS environment variable.
See also:
    On the topic of autotuning, see also rsb_tune_spmm. If --enable-rsb-num-threads has been specified at configure time, the RSB_NUM_THREADS environment variable will override the number of executing threads specified by OMP_NUM_THREADS. (See also RSB_IO_WANT_EXECUTING_THREADS).
Returns:
    On success, 0 is returned; on error, -1.

  void blas_dusmm_ (const enum blas_order_type * order, const enum blas_trans_type * transA, const int * nrhs, double * alpha, const blas_sparse_matrix * A, const double * b, const int * ldb, double * c, const int * ldc, int * istat)
Multiply by a dense matrix (aka multi-vector). Either of $C <- alpha AB+C,$ $C <- alpha A^T B+C,$ $C <- alpha A^H B+C$, depending on the value of transA.
Parameters:
    order layour of the dense array.
    transA Transposition operator for matrix A.
    nrhs Number of right hand side columns.
    A A valid matrix handle.
    alpha Value for $ alpha $.
    b Dense vector b.
    ldb Leading dimension of b.
    c Dense vector c.
    ldc Leading dimension of c.
Note:
    By setting the blas_rsb_autotune_next_operation property via BLAS_ussp (at any time) the next multiplication routine call (either of BLAS_dusmv, BLAS_susmv, BLAS_zusmv, BLAS_cusmv, BLAS_dusmm, BLAS_susmm, BLAS_zusmm, BLAS_cusmm) will invoke autotuning before carrying out the effective operation. The tuning will take in account parameters like transposition, number of right hand sides, and scaling constants. By setting the blas_rsb_spmv_autotuning_on property via BLAS_ussp, the default number of executing threads for this matrix will be determined once, at matrix assembly time, and employed irrespective of the default threads count (different values for transposed and untransposed multiply). This can be overridden only by setting the RSB_NUM_THREADS environment variable.
See also:
    On the topic of autotuning, see also rsb_tune_spmm. If --enable-rsb-num-threads has been specified at configure time, the RSB_NUM_THREADS environment variable will override the number of executing threads specified by OMP_NUM_THREADS. (See also RSB_IO_WANT_EXECUTING_THREADS).
Parameters:
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  int BLAS_dusmv (const enum blas_trans_type transA, double alpha, const blas_sparse_matrix A, const double * x, const int incx, double * y, const int incy)
Multiply by a dense vector. Either of $Y <- alpha A X + Y ,$ $Y <- alpha A^T X + Y,$ $Y <- alpha A^H X + Y$, depending on the value of transA.
Parameters:
    transA Transposition operator for matrix A.
    alpha Value for $ alpha $.
    A A valid matrix handle.
    x Dense vector x.
    incx Stride of x.
    y Dense vector y.
    incy Stride of y.
Note:
    By setting the blas_rsb_autotune_next_operation property via BLAS_ussp (at any time) the next multiplication routine call (either of BLAS_dusmv, BLAS_susmv, BLAS_zusmv, BLAS_cusmv, BLAS_dusmm, BLAS_susmm, BLAS_zusmm, BLAS_cusmm) will invoke autotuning before carrying out the effective operation. The tuning will take in account parameters like transposition, number of right hand sides, and scaling constants. By setting the blas_rsb_spmv_autotuning_on property via BLAS_ussp, the default number of executing threads for this matrix will be determined once, at matrix assembly time, and employed irrespective of the default threads count (different values for transposed and untransposed multiply). This can be overridden only by setting the RSB_NUM_THREADS environment variable.
See also:
    On the topic of autotuning, see also rsb_tune_spmm. If --enable-rsb-num-threads has been specified at configure time, the RSB_NUM_THREADS environment variable will override the number of executing threads specified by OMP_NUM_THREADS. (See also RSB_IO_WANT_EXECUTING_THREADS).
Returns:
    On success, 0 is returned; on error, -1.

  void blas_dusmv_ (const enum blas_trans_type * transA, double * alpha, const blas_sparse_matrix * A, const double * x, const int * incx, double * y, const int * incy, int * istat)
Multiply by a dense vector. Either of $Y <- alpha A X + Y ,$ $Y <- alpha A^T X + Y,$ $Y <- alpha A^H X + Y$, depending on the value of transA.
Parameters:
    transA Transposition operator for matrix A.
    alpha Value for $ alpha $.
    A A valid matrix handle.
    x Dense vector x.
    incx Stride of x.
    y Dense vector y.
    incy Stride of y.
Note:
    By setting the blas_rsb_autotune_next_operation property via BLAS_ussp (at any time) the next multiplication routine call (either of BLAS_dusmv, BLAS_susmv, BLAS_zusmv, BLAS_cusmv, BLAS_dusmm, BLAS_susmm, BLAS_zusmm, BLAS_cusmm) will invoke autotuning before carrying out the effective operation. The tuning will take in account parameters like transposition, number of right hand sides, and scaling constants. By setting the blas_rsb_spmv_autotuning_on property via BLAS_ussp, the default number of executing threads for this matrix will be determined once, at matrix assembly time, and employed irrespective of the default threads count (different values for transposed and untransposed multiply). This can be overridden only by setting the RSB_NUM_THREADS environment variable.
See also:
    On the topic of autotuning, see also rsb_tune_spmm. If --enable-rsb-num-threads has been specified at configure time, the RSB_NUM_THREADS environment variable will override the number of executing threads specified by OMP_NUM_THREADS. (See also RSB_IO_WANT_EXECUTING_THREADS).
Parameters:
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  int BLAS_dusrows_scale (blas_sparse_matrix A, const double * d, const enum blas_trans_type trans)
Scale rows interval of matrix by specified factor.
Parameters:
    A A valid matrix handle.
    d Rows scaling vector.
    trans Transposition parameter (if transposed will scale columns).
Note:
    This function is an extension implemented by librsb and thus it is not part of the standard. Do not rely on it, as it may change! Please contact the library maintainers if you need its functionality.
Returns:
    On success, 0 is returned; on error, -1.

  void blas_dusrows_scale_ (blas_sparse_matrix * A, const double * d, const enum blas_trans_type * trans, int * istat)
Scale rows interval of matrix by specified factor.
Parameters:
    A A valid matrix handle.
    d Rows scaling vector.
    trans Transposition parameter (if transposed will scale columns).
Note:
    This function is an extension implemented by librsb and thus it is not part of the standard. Do not rely on it, as it may change! Please contact the library maintainers if you need its functionality.
Parameters:
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  int BLAS_dussc (const int nnz, const double * x, double * y, const int incy, const int * indx, const enum blas_base_type index_base)
Sparse scatter: $Y |_x <- X$.
Parameters:
    y Array for $Y$ vector.
    x Array for $X$ vector.
    nnz Size of $X$ and $Y$ vectors.
    indx Is the array of indices at which sparse vector $X$ will be accessed.
    index_base Specifies the contents of indx, either blas_one_base or blas_one_base.
    incy The distance between consecutive y array elements..
Returns:
    On success, 0 is returned; on error, -1.
Warning:
    Sparse BLAS Level 1 has been implemented, although not with performance in mind.

  void blas_dussc_ (const int * nnz, const double * x, double * y, const int * incy, const int * indx, const enum blas_base_type * index_base, int * istat)
Sparse scatter: $Y |_x <- X$.
Parameters:
    y Array for $Y$ vector.
    x Array for $X$ vector.
    nnz Size of $X$ and $Y$ vectors.
    indx Is the array of indices at which sparse vector $X$ will be accessed.
    index_base Specifies the contents of indx, either blas_one_base or blas_one_base.
    incy The distance between consecutive y array elements..
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.
Warning:
    Sparse BLAS Level 1 has been implemented, although not with performance in mind.

  int BLAS_dusset_element (blas_sparse_matrix A, const int i, const int j, double * v)
Set a single (existing) matrix nonzero coefficient $A_{i,j}$.
Parameters:
    A A valid matrix handle.
    i Row index.
    j Column index.
    v Value pointer.
Note:
    This function is an extension implemented by librsb and thus it is not part of the standard. Do not rely on it, as it may change! Please contact the library maintainers if you need its functionality.
Returns:
    On success, 0 is returned; on error, -1.

  void blas_dusset_element_ (blas_sparse_matrix * A, const int * i, const int * j, double * v, int * istat)
Set a single (existing) matrix nonzero coefficient $A_{i,j}$.
Parameters:
    A A valid matrix handle.
    i Row index.
    j Column index.
    v Value pointer.
Note:
    This function is an extension implemented by librsb and thus it is not part of the standard. Do not rely on it, as it may change! Please contact the library maintainers if you need its functionality.
Parameters:
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  int BLAS_dusset_elements (blas_sparse_matrix A, const int * ia, const int * ja, const double * va, const int nnz)
Set individual matrix nonzero coefficients values. The operation is pattern preserving, that is, nonzeroes must already exist.
Parameters:
    A A valid matrix handle.
    ia Row indices array.
    ja Column indices array.
    va Values array.
    nnz Length of the ia,ja,va arrays.
Note:
    This function is an extension implemented by librsb and thus it is not part of the standard. Do not rely on it, as it may change! Please contact the library maintainers if you need its functionality..
Returns:
    On success, 0 is returned; on error, -1.

  void blas_dusset_elements_ (blas_sparse_matrix * A, const int * ia, const int * ja, const double * va, const int * nnz, int * istat)
Set individual matrix nonzero coefficients values. The operation is pattern preserving, that is, nonzeroes must already exist.
Parameters:
    A A valid matrix handle.
    ia Row indices array.
    ja Column indices array.
    va Values array.
    nnz Length of the ia,ja,va arrays.
Note:
    This function is an extension implemented by librsb and thus it is not part of the standard. Do not rely on it, as it may change! Please contact the library maintainers if you need its functionality..
Parameters:
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  int BLAS_dussm (const enum blas_order_type order, const enum blas_trans_type transT, const int nrhs, double alpha, const blas_sparse_matrix T, double * b, const int ldb)
Triangular solve, by a dense matrix (aka multi-vector). Either of $B <- alpha T^{-1} B,$ $B <- alpha T^{-T} B,$ $B <- alpha T^{-H} B$, depending on the value of transT.
Parameters:
    order layour of the dense array.
    transT Transposition operator for matrix T.
    nrhs Number of right hand side columns.
    alpha Value for $ alpha $.
    T A valid triangular matrix handle.
    b Dense vector b.
    ldb Leading dimension of b.
Returns:
    On success, 0 is returned; on error, -1.

  void blas_dussm_ (const enum blas_order_type * order, const enum blas_trans_type * transT, const int * nrhs, double * alpha, const blas_sparse_matrix * T, double * b, const int * ldb, int * istat)
Triangular solve, by a dense matrix (aka multi-vector). Either of $B <- alpha T^{-1} B,$ $B <- alpha T^{-T} B,$ $B <- alpha T^{-H} B$, depending on the value of transT.
Parameters:
    order layour of the dense array.
    transT Transposition operator for matrix T.
    nrhs Number of right hand side columns.
    alpha Value for $ alpha $.
    T A valid triangular matrix handle.
    b Dense vector b.
    ldb Leading dimension of b.
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  int BLAS_dussv (enum blas_trans_type transT, double alpha, const blas_sparse_matrix T, double * x, const int incx)
Triangular solve, by a dense vector. Either of $X <- alpha T^{-1}X,$ $X <- alpha T^{-T}X,$ $X <- alpha T^{-H}X$, depending on the value of transT.
Parameters:
    transT Transposition operator for matrix T.
    alpha Value for $ alpha $.
    T A valid triangular matrix handle.
    x Dense vector x.
    incx Stride of x.
Returns:
    On success, 0 is returned; on error, -1.

  void blas_dussv_ (enum blas_trans_type * transT, double * alpha, const blas_sparse_matrix * T, double * x, const int * incx, int * istat)
Triangular solve, by a dense vector. Either of $X <- alpha T^{-1}X,$ $X <- alpha T^{-T}X,$ $X <- alpha T^{-H}X$, depending on the value of transT.
Parameters:
    transT Transposition operator for matrix T.
    alpha Value for $ alpha $.
    T A valid triangular matrix handle.
    x Dense vector x.
    incx Stride of x.
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  int BLAS_susaxpy (const int nnz, float alpha, const float * x, const int * indx, float * y, const int incy, const enum blas_base_type index_base)
Sparse vector update: $Y <- alpha X + Y$.
Parameters:
    y Array for $Y$ vector.
    x Array for $X$ vector.
    nnz Size of $X$ and $Y$ vectors.
    indx Is the array of indices at which sparse vector $X$ will be accessed.
    index_base Specifies the contents of indx, either blas_one_base or blas_one_base.
    incy The distance between consecutive y array elements.
    alpha Will scale values of $X$ before accumulating to $Y$.
Returns:
    On success, 0 is returned; on error, -1.
Warning:
    Sparse BLAS Level 1 has been implemented, although not with performance in mind.

  void blas_susaxpy_ (const int * nnz, float * alpha, const float * x, const int * indx, float * y, const int * incy, const enum blas_base_type * index_base, int * istat)
Sparse vector update: $Y <- alpha X + Y$.
Parameters:
    y Array for $Y$ vector.
    x Array for $X$ vector.
    nnz Size of $X$ and $Y$ vectors.
    indx Is the array of indices at which sparse vector $X$ will be accessed.
    index_base Specifies the contents of indx, either blas_one_base or blas_one_base.
    incy The distance between consecutive y array elements.
    alpha Will scale values of $X$ before accumulating to $Y$.
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.
Warning:
    Sparse BLAS Level 1 has been implemented, although not with performance in mind.

  blas_sparse_matrix BLAS_suscr_begin (int m, int n)
Allocates an empty matrix (A) and leaves it in build state.
Parameters:
    m Is the count of rows.
    n Is the count of columns.
Returns:
    A matrix handle in case of success, or -1 on error.

  void blas_suscr_begin_ (int * m, int * n, blas_sparse_matrix * A, int * istat)
Allocates an empty matrix (A) and leaves it in build state.
Parameters:
    m Is the count of rows.
    n Is the count of columns.
    A A valid pointer to an empty matrix handle.
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value. Will assign a valid matrix handle to $A$ in case of success, or set it to -1 on error.

  blas_sparse_matrix BLAS_suscr_block_begin (int Mb, int Nb, int k, int l)
Allocates an empty matrix (A) and leaves it in build state.
Parameters:
    k,l Are row and column dimensions when specifying a matrix as BCSR.
    Mb Block rows count.
    Nb Block columns count.
Returns:
    A matrix handle in case of success, or -1 on error.

  void blas_suscr_block_begin_ (int * Mb, int * Nb, int * k, int * l, blas_sparse_matrix * A, int * istat)
Allocates an empty matrix (A) and leaves it in build state.
Parameters:
    k,l Are row and column dimensions when specifying a matrix as BCSR.
    Mb Block rows count.
    Nb Block columns count.
    A A valid pointer to an empty matrix handle.
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value. Will assign a valid matrix handle to $A$ in case of success, or set it to -1 on error.

  int BLAS_suscr_end (blas_sparse_matrix A)
Makes an assembled matrix out of a matrix in build state. After this, it is not possible anymore to insert nonzeroes, but computational routines.
Parameters:
    A A valid matrix handle.
Returns:
    On success, 0 is returned; on error, -1.

  void blas_suscr_end_ (blas_sparse_matrix * A, int * istat)
Makes an assembled matrix out of a matrix in build state. After this, it is not possible anymore to insert nonzeroes, but computational routines.
Parameters:
    A A valid matrix handle.
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  int BLAS_suscr_insert_block (blas_sparse_matrix A, const float * val, int row_stride, int col_stride, int i, int j)
Inserts a whole block in a matrix, assuming it is in build state. The block size is assumed to be the one specified when calling the (type) corresponding matrix blocked begin function. If not called a blocked begin function, will assume 1x1 (that is, no) blocking. By default, duplicate entries will be summed together.
Parameters:
    A A valid matrix handle.
    val Array of values.
    row_stride,col_stride Row and column strides in accessing val.
    i,j Block row/column indices.
Warning:
    Signature of this routine for Fortran does not agree to the standard. This shall be corrected in a future release.
See also:
    BLAS_cuscr_block_begin, BLAS_cuscr_block_begin, BLAS_duscr_block_begin, BLAS_zuscr_block_begin, BLAS_cuscr_begin, BLAS_suscr_begin, BLAS_duscr_begin, BLAS_zuscr_begin.
Returns:
    On success, 0 is returned; on error, -1.

  void blas_suscr_insert_block_ (blas_sparse_matrix * A, const float * val, int * row_stride, int * col_stride, int * i, int * j, int * istat)
Inserts a whole block in a matrix, assuming it is in build state. The block size is assumed to be the one specified when calling the (type) corresponding matrix blocked begin function. If not called a blocked begin function, will assume 1x1 (that is, no) blocking. By default, duplicate entries will be summed together.
Parameters:
    A A valid matrix handle.
    val Array of values.
    row_stride,col_stride Row and column strides in accessing val.
    i,j Block row/column indices.
Warning:
    Signature of this routine for Fortran does not agree to the standard. This shall be corrected in a future release.
See also:
    BLAS_cuscr_block_begin, BLAS_cuscr_block_begin, BLAS_duscr_block_begin, BLAS_zuscr_block_begin, BLAS_cuscr_begin, BLAS_suscr_begin, BLAS_duscr_begin, BLAS_zuscr_begin.
Parameters:
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  int BLAS_suscr_insert_clique (blas_sparse_matrix A, const int k, const int l, const float * val, const int row_stride, const int col_stride, const int * indx, const int * jndx)
Inserts a whole clique in a matrix, assuming this is in build state. By default, duplicate entries will be summed together.
Parameters:
    A A valid matrix handle.
    k,l Clique rows and columns count.
    val Array of values.
    row_stride,col_stride Row/columns stride in accessing the clique.
    indx,jndx Row/column indices arrays.
Warning:
    Signature of this routine for Fortran does not agree to the standard. This shall be corrected in a future release.
Returns:
    On success, 0 is returned; on error, -1.

  void blas_suscr_insert_clique_ (blas_sparse_matrix * A, const int * k, const int * l, const float * val, const int * row_stride, const int * col_stride, const int * indx, const int * jndx, int * istat)
Inserts a whole clique in a matrix, assuming this is in build state. By default, duplicate entries will be summed together.
Parameters:
    A A valid matrix handle.
    k,l Clique rows and columns count.
    val Array of values.
    row_stride,col_stride Row/columns stride in accessing the clique.
    indx,jndx Row/column indices arrays.
Warning:
    Signature of this routine for Fortran does not agree to the standard. This shall be corrected in a future release.
Parameters:
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  int BLAS_suscr_insert_col (blas_sparse_matrix A, int j, int nnz, const float * val, const int * indx)
Inserts a whole column in a matrix, assuming it is in build state. By default, duplicate entries will be summed together.
Parameters:
    A A valid matrix handle.
    j Column index.
    nnz Number of nonzeroes to insert.
    val Array of values.
    indx Row indices array.
Returns:
    On success, 0 is returned; on error, -1.

  void blas_suscr_insert_col_ (blas_sparse_matrix * A, int * j, int * nnz, const float * val, const int * indx, int * istat)
Inserts a whole column in a matrix, assuming it is in build state. By default, duplicate entries will be summed together.
Parameters:
    A A valid matrix handle.
    j Column index.
    nnz Number of nonzeroes to insert.
    val Array of values.
    indx Row indices array.
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  int BLAS_suscr_insert_entries (blas_sparse_matrix A, int nnz, const float * val, const int * indx, const int * jndx)
Inserts entries in a matrix, assuming it is in build state. By default, duplicate entries will be summed together.
Parameters:
    A A valid matrix handle.
    nnz Number of nonzeroes to insert.
    val Array of values.
    indx Row indices array.
    jndx Column indices array.
Returns:
    On success, 0 is returned; on error, -1.

  void blas_suscr_insert_entries_ (blas_sparse_matrix * A, int * nnz, const float * val, const int * indx, const int * jndx, int * istat)
Inserts entries in a matrix, assuming it is in build state. By default, duplicate entries will be summed together.
Parameters:
    A A valid matrix handle.
    nnz Number of nonzeroes to insert.
    val Array of values.
    indx Row indices array.
    jndx Column indices array.
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  int BLAS_suscr_insert_entry (blas_sparse_matrix A, float val, int i, int j)
Inserts an entry in a matrix, assuming it is in build state. By default, duplicate entries will be summed together.
Parameters:
    A A valid matrix handle.
    val Array of values.
    val Array of values.
    i,j Row and column indices.
Returns:
    On success, 0 is returned; on error, -1.

  void blas_suscr_insert_entry_ (blas_sparse_matrix * A, float * val, int * i, int * j, int * istat)
Inserts an entry in a matrix, assuming it is in build state. By default, duplicate entries will be summed together.
Parameters:
    A A valid matrix handle.
    val Array of values.
    val Array of values.
    i,j Row and column indices.
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  int BLAS_suscr_insert_row (blas_sparse_matrix A, int i, int nnz, const float * val, const int * indx)
Inserts a whole row in a matrix, assuming it is in build state. By default, duplicate entries will be summed together.
Parameters:
    A A valid matrix handle.
    i Row index.
    nnz Number of nonzeroes to insert.
    val Array of values.
    indx Row index.
Returns:
    On success, 0 is returned; on error, -1.

  void blas_suscr_insert_row_ (blas_sparse_matrix * A, int * i, int * nnz, const float * val, const int * indx, int * istat)
Inserts a whole row in a matrix, assuming it is in build state. By default, duplicate entries will be summed together.
Parameters:
    A A valid matrix handle.
    i Row index.
    nnz Number of nonzeroes to insert.
    val Array of values.
    indx Row index.
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  blas_sparse_matrix BLAS_suscr_variable_block_begin (int Mb, int Nb, const int * K, const int * L)
Allocates an empty matrix (A) and leaves it in build state.
Parameters:
    K,L Are arrays specifying row/column block sizes when specifying a matrix as VBR.
    Mb Block rows count.
    Nb Block columns count.
Returns:
    A matrix handle in case of success, or -1 on error.

  void blas_suscr_variable_block_begin_ (int * Mb, int * Nb, const int * K, const int * L, blas_sparse_matrix * A, int * istat)
Allocates an empty matrix (A) and leaves it in build state.
Parameters:
    K,L Are arrays specifying row/column block sizes when specifying a matrix as VBR.
    Mb Block rows count.
    Nb Block columns count.
    A A valid pointer to an empty matrix handle.
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value. Will assign a valid matrix handle to $A$ in case of success, or set it to -1 on error.

  int BLAS_susdot (const enum blas_conj_type conj, const int nnz, const float * x, const int * indx, const float * y, const int incy, float * r, const enum blas_base_type index_base)
Sparse dot product. $r <- X^T Y,$ $r <- X^H Y$
Parameters:
    r Sparse dot result array.
    y Array for $Y$ vector.
    x Array for $X$ vector.
    nnz Size of $X$ and $Y$ vectors.
    indx Is the array of indices at which sparse vector $X$ will be accessed.
    index_base Specifies the contents of indx, either blas_one_base or blas_one_base.
    incy The distance between consecutive y array elements.
    conj If blas_conj, values of X will be considered conjugated.
Returns:
    On success, 0 is returned; on error, -1.
Warning:
    Sparse BLAS Level 1 has been implemented, although not with performance in mind.

  void blas_susdot_ (const enum blas_conj_type * conj, const int * nnz, const float * x, const int * indx, const float * y, const int * incy, float * r, const enum blas_base_type * index_base, int * istat)
Sparse dot product. $r <- X^T Y,$ $r <- X^H Y$
Parameters:
    r Sparse dot result array.
    y Array for $Y$ vector.
    x Array for $X$ vector.
    nnz Size of $X$ and $Y$ vectors.
    indx Is the array of indices at which sparse vector $X$ will be accessed.
    index_base Specifies the contents of indx, either blas_one_base or blas_one_base.
    incy The distance between consecutive y array elements.
    conj If blas_conj, values of X will be considered conjugated.
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.
Warning:
    Sparse BLAS Level 1 has been implemented, although not with performance in mind.

  int BLAS_susga (const int nnz, const float * y, const int incy, float * x, const int * indx, const enum blas_base_type index_base)
Sparse gather. $X <- Y |_x$.
Parameters:
    y Array for $Y$ vector.
    x Array for $X$ vector.
    nnz Size of $X$ and $Y$ vectors.
    indx Is the array of indices at which sparse vector $X$ will be accessed.
    index_base Specifies the contents of indx, either blas_one_base or blas_one_base.
    incy The distance between consecutive y array elements..
Returns:
    On success, 0 is returned; on error, -1.
Warning:
    Sparse BLAS Level 1 has been implemented, although not with performance in mind.

  void blas_susga_ (const int * nnz, const float * y, const int * incy, float * x, const int * indx, const enum blas_base_type * index_base, int * istat)
Sparse gather. $X <- Y |_x$.
Parameters:
    y Array for $Y$ vector.
    x Array for $X$ vector.
    nnz Size of $X$ and $Y$ vectors.
    indx Is the array of indices at which sparse vector $X$ will be accessed.
    index_base Specifies the contents of indx, either blas_one_base or blas_one_base.
    incy The distance between consecutive y array elements..
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.
Warning:
    Sparse BLAS Level 1 has been implemented, although not with performance in mind.

  int BLAS_susget_diag (blas_sparse_matrix A, float * d)
Get matrix diagonal. $d <- diag(A)$.
Parameters:
    A A valid matrix handle.
    d Array for the diagonal entries.
Note:
    This function is an extension implemented by librsb and thus it is not part of the standard. Do not rely on it, as it may change! Please contact the library maintainers if you need its functionality.
Returns:
    On success, 0 is returned; on error, -1.

  void blas_susget_diag_ (blas_sparse_matrix * A, float * d, int * istat)
Get matrix diagonal. $d <- diag(A)$.
Parameters:
    A A valid matrix handle.
    d Array for the diagonal entries.
Note:
    This function is an extension implemented by librsb and thus it is not part of the standard. Do not rely on it, as it may change! Please contact the library maintainers if you need its functionality.
Parameters:
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  int BLAS_susget_element (blas_sparse_matrix A, const int i, const int j, float * v)
Get a single matrix nonzero coefficient $A_{i,j}$.
Parameters:
    A A valid matrix handle.
    i Row index.
    j Column index.
    v Value pointer.
Note:
    This function is an extension implemented by librsb and thus it is not part of the standard. Do not rely on it, as it may change! Please contact the library maintainers if you need its functionality.
Returns:
    On success, 0 is returned; on error, -1.

  void blas_susget_element_ (blas_sparse_matrix * A, const int * i, const int * j, float * v, int * istat)
Get a single matrix nonzero coefficient $A_{i,j}$.
Parameters:
    A A valid matrix handle.
    i Row index.
    j Column index.
    v Value pointer.
Note:
    This function is an extension implemented by librsb and thus it is not part of the standard. Do not rely on it, as it may change! Please contact the library maintainers if you need its functionality.
Parameters:
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  int BLAS_susget_infinity_norm (blas_sparse_matrix A, float * in, const enum blas_trans_type trans)
Get infinity norm of matrix.
Parameters:
    A A valid matrix handle.
    in Infinity norm pointer.
    trans Transposition parameter.
Note:
    This function is an extension implemented by librsb and thus it is not part of the standard. Do not rely on it, as it may change! Please contact the library maintainers if you need its functionality.
Returns:
    On success, 0 is returned; on error, -1.

  void blas_susget_infinity_norm_ (blas_sparse_matrix * A, float * in, const enum blas_trans_type * trans, int * istat)
Get infinity norm of matrix.
Parameters:
    A A valid matrix handle.
    in Infinity norm pointer.
    trans Transposition parameter.
Note:
    This function is an extension implemented by librsb and thus it is not part of the standard. Do not rely on it, as it may change! Please contact the library maintainers if you need its functionality.
Parameters:
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  int BLAS_susget_matrix_nnz (blas_sparse_matrix A, int * nnz)
Get nnz count of matrix.
Parameters:
    A A valid matrix handle.
    nnz Output value pointer.
Note:
    This function is an extension implemented by librsb and thus it is not part of the standard. Do not rely on it, as it may change! Please contact the library maintainers if you need its functionality.
Returns:
    On success, 0 is returned; on error, -1.

  void blas_susget_matrix_nnz_ (blas_sparse_matrix * A, int * nnz, int * istat)
Get nnz count of matrix.
Parameters:
    A A valid matrix handle.
    nnz Output value pointer.
Note:
    This function is an extension implemented by librsb and thus it is not part of the standard. Do not rely on it, as it may change! Please contact the library maintainers if you need its functionality.
Parameters:
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  int BLAS_susget_rows_nnz (blas_sparse_matrix A, const int fr, const int lr, int * nnzp)
Get nnz count of matrix row interval.
Parameters:
    A A valid matrix handle.
    fr First row.
    lr Last row.
    nnzp Pointer to the nonzeroes variable.
Note:
    This function is an extension implemented by librsb and thus it is not part of the standard. Do not rely on it, as it may change! Please contact the library maintainers if you need its functionality.
Returns:
    On success, 0 is returned; on error, -1.

  void blas_susget_rows_nnz_ (blas_sparse_matrix * A, const int * fr, const int * lr, int * nnzp, int * istat)
Get nnz count of matrix row interval.
Parameters:
    A A valid matrix handle.
    fr First row.
    lr Last row.
    nnzp Pointer to the nonzeroes variable.
Note:
    This function is an extension implemented by librsb and thus it is not part of the standard. Do not rely on it, as it may change! Please contact the library maintainers if you need its functionality.
Parameters:
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  int BLAS_susget_rows_sparse (blas_sparse_matrix A, float * VA, int * IA, int * JA, int * nnz, const int fr, const int lr)
Get sparse rows of matrix.
Parameters:
    A A valid matrix handle.
    VA pointer to values.
    IA Row indices array.
    JA Column indices array.
    nnz Obtained nonzeroes.
    fr first row.
    lr Last row.
Note:
    This function is an extension implemented by librsb and thus it is not part of the standard. Do not rely on it, as it may change! Please contact the library maintainers if you need its functionality.
Returns:
    On success, 0 is returned; on error, -1.

  void blas_susget_rows_sparse_ (blas_sparse_matrix * A, float * VA, int * IA, int * JA, int * nnz, const int * fr, const int * lr, int * istat)
Get sparse rows of matrix.
Parameters:
    A A valid matrix handle.
    VA pointer to values.
    IA Row indices array.
    JA Column indices array.
    nnz Obtained nonzeroes.
    fr first row.
    lr Last row.
Note:
    This function is an extension implemented by librsb and thus it is not part of the standard. Do not rely on it, as it may change! Please contact the library maintainers if you need its functionality.
Parameters:
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  int BLAS_susgz (const int nnz, float * y, const int incy, float * x, const int * indx, const enum blas_base_type index_base)
Sparse gather and zero. $X <- Y |_x;Y|_x <- 0$.
Parameters:
    y Array for $Y$ vector.
    x Array for $X$ vector.
    nnz Size of $X$ and $Y$ vectors.
    indx Is the array of indices at which sparse vector $X$ will be accessed.
    index_base Specifies the contents of indx, either blas_one_base or blas_one_base.
    incy The distance between consecutive y array elements..
Returns:
    On success, 0 is returned; on error, -1.
Warning:
    Sparse BLAS Level 1 has been implemented, although not with performance in mind.

  void blas_susgz_ (const int * nnz, float * y, const int * incy, float * x, const int * indx, const enum blas_base_type * index_base, int * istat)
Sparse gather and zero. $X <- Y |_x;Y|_x <- 0$.
Parameters:
    y Array for $Y$ vector.
    x Array for $X$ vector.
    nnz Size of $X$ and $Y$ vectors.
    indx Is the array of indices at which sparse vector $X$ will be accessed.
    index_base Specifies the contents of indx, either blas_one_base or blas_one_base.
    incy The distance between consecutive y array elements..
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.
Warning:
    Sparse BLAS Level 1 has been implemented, although not with performance in mind.

  int BLAS_susmm (const enum blas_order_type order, const enum blas_trans_type transA, const int nrhs, float alpha, const blas_sparse_matrix A, const float * b, const int ldb, float * c, const int ldc)
Multiply by a dense matrix (aka multi-vector). Either of $C <- alpha AB+C,$ $C <- alpha A^T B+C,$ $C <- alpha A^H B+C$, depending on the value of transA.
Parameters:
    order layour of the dense array.
    transA Transposition operator for matrix A.
    nrhs Number of right hand side columns.
    A A valid matrix handle.
    alpha Value for $ alpha $.
    b Dense vector b.
    ldb Leading dimension of b.
    c Dense vector c.
    ldc Leading dimension of c.
Note:
    By setting the blas_rsb_autotune_next_operation property via BLAS_ussp (at any time) the next multiplication routine call (either of BLAS_dusmv, BLAS_susmv, BLAS_zusmv, BLAS_cusmv, BLAS_dusmm, BLAS_susmm, BLAS_zusmm, BLAS_cusmm) will invoke autotuning before carrying out the effective operation. The tuning will take in account parameters like transposition, number of right hand sides, and scaling constants. By setting the blas_rsb_spmv_autotuning_on property via BLAS_ussp, the default number of executing threads for this matrix will be determined once, at matrix assembly time, and employed irrespective of the default threads count (different values for transposed and untransposed multiply). This can be overridden only by setting the RSB_NUM_THREADS environment variable.
See also:
    On the topic of autotuning, see also rsb_tune_spmm. If --enable-rsb-num-threads has been specified at configure time, the RSB_NUM_THREADS environment variable will override the number of executing threads specified by OMP_NUM_THREADS. (See also RSB_IO_WANT_EXECUTING_THREADS).
Returns:
    On success, 0 is returned; on error, -1.

  void blas_susmm_ (const enum blas_order_type * order, const enum blas_trans_type * transA, const int * nrhs, float * alpha, const blas_sparse_matrix * A, const float * b, const int * ldb, float * c, const int * ldc, int * istat)
Multiply by a dense matrix (aka multi-vector). Either of $C <- alpha AB+C,$ $C <- alpha A^T B+C,$ $C <- alpha A^H B+C$, depending on the value of transA.
Parameters:
    order layour of the dense array.
    transA Transposition operator for matrix A.
    nrhs Number of right hand side columns.
    A A valid matrix handle.
    alpha Value for $ alpha $.
    b Dense vector b.
    ldb Leading dimension of b.
    c Dense vector c.
    ldc Leading dimension of c.
Note:
    By setting the blas_rsb_autotune_next_operation property via BLAS_ussp (at any time) the next multiplication routine call (either of BLAS_dusmv, BLAS_susmv, BLAS_zusmv, BLAS_cusmv, BLAS_dusmm, BLAS_susmm, BLAS_zusmm, BLAS_cusmm) will invoke autotuning before carrying out the effective operation. The tuning will take in account parameters like transposition, number of right hand sides, and scaling constants. By setting the blas_rsb_spmv_autotuning_on property via BLAS_ussp, the default number of executing threads for this matrix will be determined once, at matrix assembly time, and employed irrespective of the default threads count (different values for transposed and untransposed multiply). This can be overridden only by setting the RSB_NUM_THREADS environment variable.
See also:
    On the topic of autotuning, see also rsb_tune_spmm. If --enable-rsb-num-threads has been specified at configure time, the RSB_NUM_THREADS environment variable will override the number of executing threads specified by OMP_NUM_THREADS. (See also RSB_IO_WANT_EXECUTING_THREADS).
Parameters:
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  int BLAS_susmv (const enum blas_trans_type transA, float alpha, const blas_sparse_matrix A, const float * x, const int incx, float * y, const int incy)
Multiply by a dense vector. Either of $Y <- alpha A X + Y ,$ $Y <- alpha A^T X + Y,$ $Y <- alpha A^H X + Y$, depending on the value of transA.
Parameters:
    transA Transposition operator for matrix A.
    alpha Value for $ alpha $.
    A A valid matrix handle.
    x Dense vector x.
    incx Stride of x.
    y Dense vector y.
    incy Stride of y.
Note:
    By setting the blas_rsb_autotune_next_operation property via BLAS_ussp (at any time) the next multiplication routine call (either of BLAS_dusmv, BLAS_susmv, BLAS_zusmv, BLAS_cusmv, BLAS_dusmm, BLAS_susmm, BLAS_zusmm, BLAS_cusmm) will invoke autotuning before carrying out the effective operation. The tuning will take in account parameters like transposition, number of right hand sides, and scaling constants. By setting the blas_rsb_spmv_autotuning_on property via BLAS_ussp, the default number of executing threads for this matrix will be determined once, at matrix assembly time, and employed irrespective of the default threads count (different values for transposed and untransposed multiply). This can be overridden only by setting the RSB_NUM_THREADS environment variable.
See also:
    On the topic of autotuning, see also rsb_tune_spmm. If --enable-rsb-num-threads has been specified at configure time, the RSB_NUM_THREADS environment variable will override the number of executing threads specified by OMP_NUM_THREADS. (See also RSB_IO_WANT_EXECUTING_THREADS).
Returns:
    On success, 0 is returned; on error, -1.

  void blas_susmv_ (const enum blas_trans_type * transA, float * alpha, const blas_sparse_matrix * A, const float * x, const int * incx, float * y, const int * incy, int * istat)
Multiply by a dense vector. Either of $Y <- alpha A X + Y ,$ $Y <- alpha A^T X + Y,$ $Y <- alpha A^H X + Y$, depending on the value of transA.
Parameters:
    transA Transposition operator for matrix A.
    alpha Value for $ alpha $.
    A A valid matrix handle.
    x Dense vector x.
    incx Stride of x.
    y Dense vector y.
    incy Stride of y.
Note:
    By setting the blas_rsb_autotune_next_operation property via BLAS_ussp (at any time) the next multiplication routine call (either of BLAS_dusmv, BLAS_susmv, BLAS_zusmv, BLAS_cusmv, BLAS_dusmm, BLAS_susmm, BLAS_zusmm, BLAS_cusmm) will invoke autotuning before carrying out the effective operation. The tuning will take in account parameters like transposition, number of right hand sides, and scaling constants. By setting the blas_rsb_spmv_autotuning_on property via BLAS_ussp, the default number of executing threads for this matrix will be determined once, at matrix assembly time, and employed irrespective of the default threads count (different values for transposed and untransposed multiply). This can be overridden only by setting the RSB_NUM_THREADS environment variable.
See also:
    On the topic of autotuning, see also rsb_tune_spmm. If --enable-rsb-num-threads has been specified at configure time, the RSB_NUM_THREADS environment variable will override the number of executing threads specified by OMP_NUM_THREADS. (See also RSB_IO_WANT_EXECUTING_THREADS).
Parameters:
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  int BLAS_susrows_scale (blas_sparse_matrix A, const float * d, const enum blas_trans_type trans)
Scale rows interval of matrix by specified factor.
Parameters:
    A A valid matrix handle.
    d Rows scaling vector.
    trans Transposition parameter (if transposed will scale columns).
Note:
    This function is an extension implemented by librsb and thus it is not part of the standard. Do not rely on it, as it may change! Please contact the library maintainers if you need its functionality.
Returns:
    On success, 0 is returned; on error, -1.

  void blas_susrows_scale_ (blas_sparse_matrix * A, const float * d, const enum blas_trans_type * trans, int * istat)
Scale rows interval of matrix by specified factor.
Parameters:
    A A valid matrix handle.
    d Rows scaling vector.
    trans Transposition parameter (if transposed will scale columns).
Note:
    This function is an extension implemented by librsb and thus it is not part of the standard. Do not rely on it, as it may change! Please contact the library maintainers if you need its functionality.
Parameters:
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  int BLAS_sussc (const int nnz, const float * x, float * y, const int incy, const int * indx, const enum blas_base_type index_base)
Sparse scatter: $Y |_x <- X$.
Parameters:
    y Array for $Y$ vector.
    x Array for $X$ vector.
    nnz Size of $X$ and $Y$ vectors.
    indx Is the array of indices at which sparse vector $X$ will be accessed.
    index_base Specifies the contents of indx, either blas_one_base or blas_one_base.
    incy The distance between consecutive y array elements..
Returns:
    On success, 0 is returned; on error, -1.
Warning:
    Sparse BLAS Level 1 has been implemented, although not with performance in mind.

  void blas_sussc_ (const int * nnz, const float * x, float * y, const int * incy, const int * indx, const enum blas_base_type * index_base, int * istat)
Sparse scatter: $Y |_x <- X$.
Parameters:
    y Array for $Y$ vector.
    x Array for $X$ vector.
    nnz Size of $X$ and $Y$ vectors.
    indx Is the array of indices at which sparse vector $X$ will be accessed.
    index_base Specifies the contents of indx, either blas_one_base or blas_one_base.
    incy The distance between consecutive y array elements..
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.
Warning:
    Sparse BLAS Level 1 has been implemented, although not with performance in mind.

  int BLAS_susset_element (blas_sparse_matrix A, const int i, const int j, float * v)
Set a single (existing) matrix nonzero coefficient $A_{i,j}$.
Parameters:
    A A valid matrix handle.
    i Row index.
    j Column index.
    v Value pointer.
Note:
    This function is an extension implemented by librsb and thus it is not part of the standard. Do not rely on it, as it may change! Please contact the library maintainers if you need its functionality.
Returns:
    On success, 0 is returned; on error, -1.

  void blas_susset_element_ (blas_sparse_matrix * A, const int * i, const int * j, float * v, int * istat)
Set a single (existing) matrix nonzero coefficient $A_{i,j}$.
Parameters:
    A A valid matrix handle.
    i Row index.
    j Column index.
    v Value pointer.
Note:
    This function is an extension implemented by librsb and thus it is not part of the standard. Do not rely on it, as it may change! Please contact the library maintainers if you need its functionality.
Parameters:
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  int BLAS_susset_elements (blas_sparse_matrix A, const int * ia, const int * ja, const float * va, const int nnz)
Set individual matrix nonzero coefficients values. The operation is pattern preserving, that is, nonzeroes must already exist.
Parameters:
    A A valid matrix handle.
    ia Row indices array.
    ja Column indices array.
    va Values array.
    nnz Length of the ia,ja,va arrays.
Note:
    This function is an extension implemented by librsb and thus it is not part of the standard. Do not rely on it, as it may change! Please contact the library maintainers if you need its functionality..
Returns:
    On success, 0 is returned; on error, -1.

  void blas_susset_elements_ (blas_sparse_matrix * A, const int * ia, const int * ja, const float * va, const int * nnz, int * istat)
Set individual matrix nonzero coefficients values. The operation is pattern preserving, that is, nonzeroes must already exist.
Parameters:
    A A valid matrix handle.
    ia Row indices array.
    ja Column indices array.
    va Values array.
    nnz Length of the ia,ja,va arrays.
Note:
    This function is an extension implemented by librsb and thus it is not part of the standard. Do not rely on it, as it may change! Please contact the library maintainers if you need its functionality..
Parameters:
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  int BLAS_sussm (const enum blas_order_type order, const enum blas_trans_type transT, const int nrhs, float alpha, const blas_sparse_matrix T, float * b, const int ldb)
Triangular solve, by a dense matrix (aka multi-vector). Either of $B <- alpha T^{-1} B,$ $B <- alpha T^{-T} B,$ $B <- alpha T^{-H} B$, depending on the value of transT.
Parameters:
    order layour of the dense array.
    transT Transposition operator for matrix T.
    nrhs Number of right hand side columns.
    alpha Value for $ alpha $.
    T A valid triangular matrix handle.
    b Dense vector b.
    ldb Leading dimension of b.
Returns:
    On success, 0 is returned; on error, -1.

  void blas_sussm_ (const enum blas_order_type * order, const enum blas_trans_type * transT, const int * nrhs, float * alpha, const blas_sparse_matrix * T, float * b, const int * ldb, int * istat)
Triangular solve, by a dense matrix (aka multi-vector). Either of $B <- alpha T^{-1} B,$ $B <- alpha T^{-T} B,$ $B <- alpha T^{-H} B$, depending on the value of transT.
Parameters:
    order layour of the dense array.
    transT Transposition operator for matrix T.
    nrhs Number of right hand side columns.
    alpha Value for $ alpha $.
    T A valid triangular matrix handle.
    b Dense vector b.
    ldb Leading dimension of b.
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  int BLAS_sussv (enum blas_trans_type transT, float alpha, const blas_sparse_matrix T, float * x, const int incx)
Triangular solve, by a dense vector. Either of $X <- alpha T^{-1}X,$ $X <- alpha T^{-T}X,$ $X <- alpha T^{-H}X$, depending on the value of transT.
Parameters:
    transT Transposition operator for matrix T.
    alpha Value for $ alpha $.
    T A valid triangular matrix handle.
    x Dense vector x.
    incx Stride of x.
Returns:
    On success, 0 is returned; on error, -1.

  void blas_sussv_ (enum blas_trans_type * transT, float * alpha, const blas_sparse_matrix * T, float * x, const int * incx, int * istat)
Triangular solve, by a dense vector. Either of $X <- alpha T^{-1}X,$ $X <- alpha T^{-T}X,$ $X <- alpha T^{-H}X$, depending on the value of transT.
Parameters:
    transT Transposition operator for matrix T.
    alpha Value for $ alpha $.
    T A valid triangular matrix handle.
    x Dense vector x.
    incx Stride of x.
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  int BLAS_uscr_end (blas_sparse_matrix A)
Makes an assembled matrix out of a matrix in build state. After this, it is not possible anymore to insert nonzeroes, but computational routines.
Parameters:
    A A valid matrix handle.
Returns:
    On success, 0 is returned; on error, -1.

  void blas_uscr_end_ (blas_sparse_matrix * A, int * istat)
Makes an assembled matrix out of a matrix in build state. After this, it is not possible anymore to insert nonzeroes, but computational routines.
Parameters:
    A A valid matrix handle.
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  int BLAS_usds (blas_sparse_matrix A)
Destroys a matrix.
Parameters:
    A A valid matrix handle.
Returns:
    On success, 0 is returned; on error, -1.

  void blas_usds_ (blas_sparse_matrix * A, int * istat)
Destroys a matrix.
Parameters:
    A A valid matrix handle.
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  int BLAS_usgp (blas_sparse_matrix A, rsb_blas_pname_t pname)
Get a matrix property.
Parameters:
    A A is the matrix to apply the property.
    pname The desired matrix property. For valid matrix properties, see blas_rsb_ext_type, blas_uplo_type, blas_diag_type, blas_conj_type, blas_base_type, blas_symmetry_type, blas_field_type, blas_size_type, blas_sparsity_optimization_type.
Returns:
    On success, 0 is returned; on error, -1.

  void blas_usgp_ (blas_sparse_matrix * A, rsb_blas_pname_t * pname, int * istat)
Get a matrix property.
Parameters:
    A A is the matrix to apply the property.
    pname The desired matrix property. For valid matrix properties, see blas_rsb_ext_type, blas_uplo_type, blas_diag_type, blas_conj_type, blas_base_type, blas_symmetry_type, blas_field_type, blas_size_type, blas_sparsity_optimization_type.
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  int BLAS_ussp (blas_sparse_matrix A, rsb_blas_pname_t pname)
Set a matrix property. Should be called just after creation, before nonzeroes insertion.
Parameters:
    A A is the matrix to apply the property.
    pname The desired matrix property. For valid matrix properties, see blas_rsb_ext_type, blas_uplo_type, blas_diag_type, blas_conj_type, blas_base_type, blas_symmetry_type, blas_field_type, blas_size_type, blas_sparsity_optimization_type.
Returns:
    On success, 0 is returned; on error, -1.

  void blas_ussp_ (blas_sparse_matrix * A, rsb_blas_pname_t * pname, int * istat)
Set a matrix property. Should be called just after creation, before nonzeroes insertion.
Parameters:
    A A is the matrix to apply the property.
    pname The desired matrix property. For valid matrix properties, see blas_rsb_ext_type, blas_uplo_type, blas_diag_type, blas_conj_type, blas_base_type, blas_symmetry_type, blas_field_type, blas_size_type, blas_sparsity_optimization_type.
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  int BLAS_zusaxpy (const int nnz, const void * alpha, const void * x, const int * indx, void * y, const int incy, const enum blas_base_type index_base)
Sparse vector update: $Y <- alpha X + Y$.
Parameters:
    y Array for $Y$ vector.
    x Array for $X$ vector.
    nnz Size of $X$ and $Y$ vectors.
    indx Is the array of indices at which sparse vector $X$ will be accessed.
    index_base Specifies the contents of indx, either blas_one_base or blas_one_base.
    incy The distance between consecutive y array elements.
    alpha Will scale values of $X$ before accumulating to $Y$.
Returns:
    On success, 0 is returned; on error, -1.
Warning:
    Sparse BLAS Level 1 has been implemented, although not with performance in mind.

  void blas_zusaxpy_ (const int * nnz, const void * alpha, const void * x, const int * indx, void * y, const int * incy, const enum blas_base_type * index_base, int * istat)
Sparse vector update: $Y <- alpha X + Y$.
Parameters:
    y Array for $Y$ vector.
    x Array for $X$ vector.
    nnz Size of $X$ and $Y$ vectors.
    indx Is the array of indices at which sparse vector $X$ will be accessed.
    index_base Specifies the contents of indx, either blas_one_base or blas_one_base.
    incy The distance between consecutive y array elements.
    alpha Will scale values of $X$ before accumulating to $Y$.
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.
Warning:
    Sparse BLAS Level 1 has been implemented, although not with performance in mind.

  blas_sparse_matrix BLAS_zuscr_begin (int m, int n)
Allocates an empty matrix (A) and leaves it in build state.
Parameters:
    m Is the count of rows.
    n Is the count of columns.
Returns:
    A matrix handle in case of success, or -1 on error.

  void blas_zuscr_begin_ (int * m, int * n, blas_sparse_matrix * A, int * istat)
Allocates an empty matrix (A) and leaves it in build state.
Parameters:
    m Is the count of rows.
    n Is the count of columns.
    A A valid pointer to an empty matrix handle.
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value. Will assign a valid matrix handle to $A$ in case of success, or set it to -1 on error.

  blas_sparse_matrix BLAS_zuscr_block_begin (int Mb, int Nb, int k, int l)
Allocates an empty matrix (A) and leaves it in build state.
Parameters:
    k,l Are row and column dimensions when specifying a matrix as BCSR.
    Mb Block rows count.
    Nb Block columns count.
Returns:
    A matrix handle in case of success, or -1 on error.

  void blas_zuscr_block_begin_ (int * Mb, int * Nb, int * k, int * l, blas_sparse_matrix * A, int * istat)
Allocates an empty matrix (A) and leaves it in build state.
Parameters:
    k,l Are row and column dimensions when specifying a matrix as BCSR.
    Mb Block rows count.
    Nb Block columns count.
    A A valid pointer to an empty matrix handle.
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value. Will assign a valid matrix handle to $A$ in case of success, or set it to -1 on error.

  int BLAS_zuscr_end (blas_sparse_matrix A)
Makes an assembled matrix out of a matrix in build state. After this, it is not possible anymore to insert nonzeroes, but computational routines.
Parameters:
    A A valid matrix handle.
Returns:
    On success, 0 is returned; on error, -1.

  void blas_zuscr_end_ (blas_sparse_matrix * A, int * istat)
Makes an assembled matrix out of a matrix in build state. After this, it is not possible anymore to insert nonzeroes, but computational routines.
Parameters:
    A A valid matrix handle.
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  int BLAS_zuscr_insert_block (blas_sparse_matrix A, const void * val, int row_stride, int col_stride, int i, int j)
Inserts a whole block in a matrix, assuming it is in build state. The block size is assumed to be the one specified when calling the (type) corresponding matrix blocked begin function. If not called a blocked begin function, will assume 1x1 (that is, no) blocking. By default, duplicate entries will be summed together.
Parameters:
    A A valid matrix handle.
    val Array of values.
    row_stride,col_stride Row and column strides in accessing val.
    i,j Block row/column indices.
Warning:
    Signature of this routine for Fortran does not agree to the standard. This shall be corrected in a future release.
See also:
    BLAS_cuscr_block_begin, BLAS_cuscr_block_begin, BLAS_duscr_block_begin, BLAS_zuscr_block_begin, BLAS_cuscr_begin, BLAS_suscr_begin, BLAS_duscr_begin, BLAS_zuscr_begin.
Returns:
    On success, 0 is returned; on error, -1.

  void blas_zuscr_insert_block_ (blas_sparse_matrix * A, const void * val, int * row_stride, int * col_stride, int * i, int * j, int * istat)
Inserts a whole block in a matrix, assuming it is in build state. The block size is assumed to be the one specified when calling the (type) corresponding matrix blocked begin function. If not called a blocked begin function, will assume 1x1 (that is, no) blocking. By default, duplicate entries will be summed together.
Parameters:
    A A valid matrix handle.
    val Array of values.
    row_stride,col_stride Row and column strides in accessing val.
    i,j Block row/column indices.
Warning:
    Signature of this routine for Fortran does not agree to the standard. This shall be corrected in a future release.
See also:
    BLAS_cuscr_block_begin, BLAS_cuscr_block_begin, BLAS_duscr_block_begin, BLAS_zuscr_block_begin, BLAS_cuscr_begin, BLAS_suscr_begin, BLAS_duscr_begin, BLAS_zuscr_begin.
Parameters:
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  int BLAS_zuscr_insert_clique (blas_sparse_matrix A, const int k, const int l, const void * val, const int row_stride, const int col_stride, const int * indx, const int * jndx)
Inserts a whole clique in a matrix, assuming this is in build state. By default, duplicate entries will be summed together.
Parameters:
    A A valid matrix handle.
    k,l Clique rows and columns count.
    val Array of values.
    row_stride,col_stride Row/columns stride in accessing the clique.
    indx,jndx Row/column indices arrays.
Warning:
    Signature of this routine for Fortran does not agree to the standard. This shall be corrected in a future release.
Returns:
    On success, 0 is returned; on error, -1.

  void blas_zuscr_insert_clique_ (blas_sparse_matrix * A, const int * k, const int * l, const void * val, const int * row_stride, const int * col_stride, const int * indx, const int * jndx, int * istat)
Inserts a whole clique in a matrix, assuming this is in build state. By default, duplicate entries will be summed together.
Parameters:
    A A valid matrix handle.
    k,l Clique rows and columns count.
    val Array of values.
    row_stride,col_stride Row/columns stride in accessing the clique.
    indx,jndx Row/column indices arrays.
Warning:
    Signature of this routine for Fortran does not agree to the standard. This shall be corrected in a future release.
Parameters:
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  int BLAS_zuscr_insert_col (blas_sparse_matrix A, int j, int nnz, const void * val, const int * indx)
Inserts a whole column in a matrix, assuming it is in build state. By default, duplicate entries will be summed together.
Parameters:
    A A valid matrix handle.
    j Column index.
    nnz Number of nonzeroes to insert.
    val Array of values.
    indx Row indices array.
Returns:
    On success, 0 is returned; on error, -1.

  void blas_zuscr_insert_col_ (blas_sparse_matrix * A, int * j, int * nnz, const void * val, const int * indx, int * istat)
Inserts a whole column in a matrix, assuming it is in build state. By default, duplicate entries will be summed together.
Parameters:
    A A valid matrix handle.
    j Column index.
    nnz Number of nonzeroes to insert.
    val Array of values.
    indx Row indices array.
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  int BLAS_zuscr_insert_entries (blas_sparse_matrix A, int nnz, const void * val, const int * indx, const int * jndx)
Inserts entries in a matrix, assuming it is in build state. By default, duplicate entries will be summed together.
Parameters:
    A A valid matrix handle.
    nnz Number of nonzeroes to insert.
    val Array of values.
    indx Row indices array.
    jndx Column indices array.
Returns:
    On success, 0 is returned; on error, -1.

  void blas_zuscr_insert_entries_ (blas_sparse_matrix * A, int * nnz, const void * val, const int * indx, const int * jndx, int * istat)
Inserts entries in a matrix, assuming it is in build state. By default, duplicate entries will be summed together.
Parameters:
    A A valid matrix handle.
    nnz Number of nonzeroes to insert.
    val Array of values.
    indx Row indices array.
    jndx Column indices array.
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  int BLAS_zuscr_insert_entry (blas_sparse_matrix A, const void * val, int i, int j)
Inserts an entry in a matrix, assuming it is in build state. By default, duplicate entries will be summed together.
Parameters:
    A A valid matrix handle.
    val Array of values.
    val Array of values.
    i,j Row and column indices.
Returns:
    On success, 0 is returned; on error, -1.

  void blas_zuscr_insert_entry_ (blas_sparse_matrix * A, const void * val, int * i, int * j, int * istat)
Inserts an entry in a matrix, assuming it is in build state. By default, duplicate entries will be summed together.
Parameters:
    A A valid matrix handle.
    val Array of values.
    val Array of values.
    i,j Row and column indices.
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  int BLAS_zuscr_insert_row (blas_sparse_matrix A, int i, int nnz, const void * val, const int * indx)
Inserts a whole row in a matrix, assuming it is in build state. By default, duplicate entries will be summed together.
Parameters:
    A A valid matrix handle.
    i Row index.
    nnz Number of nonzeroes to insert.
    val Array of values.
    indx Row index.
Returns:
    On success, 0 is returned; on error, -1.

  void blas_zuscr_insert_row_ (blas_sparse_matrix * A, int * i, int * nnz, const void * val, const int * indx, int * istat)
Inserts a whole row in a matrix, assuming it is in build state. By default, duplicate entries will be summed together.
Parameters:
    A A valid matrix handle.
    i Row index.
    nnz Number of nonzeroes to insert.
    val Array of values.
    indx Row index.
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  blas_sparse_matrix BLAS_zuscr_variable_block_begin (int Mb, int Nb, const int * K, const int * L)
Allocates an empty matrix (A) and leaves it in build state.
Parameters:
    K,L Are arrays specifying row/column block sizes when specifying a matrix as VBR.
    Mb Block rows count.
    Nb Block columns count.
Returns:
    A matrix handle in case of success, or -1 on error.

  void blas_zuscr_variable_block_begin_ (int * Mb, int * Nb, const int * K, const int * L, blas_sparse_matrix * A, int * istat)
Allocates an empty matrix (A) and leaves it in build state.
Parameters:
    K,L Are arrays specifying row/column block sizes when specifying a matrix as VBR.
    Mb Block rows count.
    Nb Block columns count.
    A A valid pointer to an empty matrix handle.
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value. Will assign a valid matrix handle to $A$ in case of success, or set it to -1 on error.

  int BLAS_zusdot (const enum blas_conj_type conj, const int nnz, const void * x, const int * indx, const void * y, const int incy, void * r, const enum blas_base_type index_base)
Sparse dot product. $r <- X^T Y,$ $r <- X^H Y$
Parameters:
    r Sparse dot result array.
    y Array for $Y$ vector.
    x Array for $X$ vector.
    nnz Size of $X$ and $Y$ vectors.
    indx Is the array of indices at which sparse vector $X$ will be accessed.
    index_base Specifies the contents of indx, either blas_one_base or blas_one_base.
    incy The distance between consecutive y array elements.
    conj If blas_conj, values of X will be considered conjugated.
Returns:
    On success, 0 is returned; on error, -1.
Warning:
    Sparse BLAS Level 1 has been implemented, although not with performance in mind.

  void blas_zusdot_ (const enum blas_conj_type * conj, const int * nnz, const void * x, const int * indx, const void * y, const int * incy, void * r, const enum blas_base_type * index_base, int * istat)
Sparse dot product. $r <- X^T Y,$ $r <- X^H Y$
Parameters:
    r Sparse dot result array.
    y Array for $Y$ vector.
    x Array for $X$ vector.
    nnz Size of $X$ and $Y$ vectors.
    indx Is the array of indices at which sparse vector $X$ will be accessed.
    index_base Specifies the contents of indx, either blas_one_base or blas_one_base.
    incy The distance between consecutive y array elements.
    conj If blas_conj, values of X will be considered conjugated.
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.
Warning:
    Sparse BLAS Level 1 has been implemented, although not with performance in mind.

  int BLAS_zusga (const int nnz, const void * y, const int incy, void * x, const int * indx, const enum blas_base_type index_base)
Sparse gather. $X <- Y |_x$.
Parameters:
    y Array for $Y$ vector.
    x Array for $X$ vector.
    nnz Size of $X$ and $Y$ vectors.
    indx Is the array of indices at which sparse vector $X$ will be accessed.
    index_base Specifies the contents of indx, either blas_one_base or blas_one_base.
    incy The distance between consecutive y array elements..
Returns:
    On success, 0 is returned; on error, -1.
Warning:
    Sparse BLAS Level 1 has been implemented, although not with performance in mind.

  void blas_zusga_ (const int * nnz, const void * y, const int * incy, void * x, const int * indx, const enum blas_base_type * index_base, int * istat)
Sparse gather. $X <- Y |_x$.
Parameters:
    y Array for $Y$ vector.
    x Array for $X$ vector.
    nnz Size of $X$ and $Y$ vectors.
    indx Is the array of indices at which sparse vector $X$ will be accessed.
    index_base Specifies the contents of indx, either blas_one_base or blas_one_base.
    incy The distance between consecutive y array elements..
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.
Warning:
    Sparse BLAS Level 1 has been implemented, although not with performance in mind.

  int BLAS_zusget_diag (blas_sparse_matrix A, void * d)
Get matrix diagonal. $d <- diag(A)$.
Parameters:
    A A valid matrix handle.
    d Array for the diagonal entries.
Note:
    This function is an extension implemented by librsb and thus it is not part of the standard. Do not rely on it, as it may change! Please contact the library maintainers if you need its functionality.
Returns:
    On success, 0 is returned; on error, -1.

  void blas_zusget_diag_ (blas_sparse_matrix * A, void * d, int * istat)
Get matrix diagonal. $d <- diag(A)$.
Parameters:
    A A valid matrix handle.
    d Array for the diagonal entries.
Note:
    This function is an extension implemented by librsb and thus it is not part of the standard. Do not rely on it, as it may change! Please contact the library maintainers if you need its functionality.
Parameters:
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  int BLAS_zusget_element (blas_sparse_matrix A, const int i, const int j, void * v)
Get a single matrix nonzero coefficient $A_{i,j}$.
Parameters:
    A A valid matrix handle.
    i Row index.
    j Column index.
    v Value pointer.
Note:
    This function is an extension implemented by librsb and thus it is not part of the standard. Do not rely on it, as it may change! Please contact the library maintainers if you need its functionality.
Returns:
    On success, 0 is returned; on error, -1.

  void blas_zusget_element_ (blas_sparse_matrix * A, const int * i, const int * j, void * v, int * istat)
Get a single matrix nonzero coefficient $A_{i,j}$.
Parameters:
    A A valid matrix handle.
    i Row index.
    j Column index.
    v Value pointer.
Note:
    This function is an extension implemented by librsb and thus it is not part of the standard. Do not rely on it, as it may change! Please contact the library maintainers if you need its functionality.
Parameters:
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  int BLAS_zusget_infinity_norm (blas_sparse_matrix A, void * in, const enum blas_trans_type trans)
Get infinity norm of matrix.
Parameters:
    A A valid matrix handle.
    in Infinity norm pointer.
    trans Transposition parameter.
Note:
    This function is an extension implemented by librsb and thus it is not part of the standard. Do not rely on it, as it may change! Please contact the library maintainers if you need its functionality.
Returns:
    On success, 0 is returned; on error, -1.

  void blas_zusget_infinity_norm_ (blas_sparse_matrix * A, void * in, const enum blas_trans_type * trans, int * istat)
Get infinity norm of matrix.
Parameters:
    A A valid matrix handle.
    in Infinity norm pointer.
    trans Transposition parameter.
Note:
    This function is an extension implemented by librsb and thus it is not part of the standard. Do not rely on it, as it may change! Please contact the library maintainers if you need its functionality.
Parameters:
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  int BLAS_zusget_matrix_nnz (blas_sparse_matrix A, int * nnz)
Get nnz count of matrix.
Parameters:
    A A valid matrix handle.
    nnz Output value pointer.
Note:
    This function is an extension implemented by librsb and thus it is not part of the standard. Do not rely on it, as it may change! Please contact the library maintainers if you need its functionality.
Returns:
    On success, 0 is returned; on error, -1.

  void blas_zusget_matrix_nnz_ (blas_sparse_matrix * A, int * nnz, int * istat)
Get nnz count of matrix.
Parameters:
    A A valid matrix handle.
    nnz Output value pointer.
Note:
    This function is an extension implemented by librsb and thus it is not part of the standard. Do not rely on it, as it may change! Please contact the library maintainers if you need its functionality.
Parameters:
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  int BLAS_zusget_rows_nnz (blas_sparse_matrix A, const int fr, const int lr, int * nnzp)
Get nnz count of matrix row interval.
Parameters:
    A A valid matrix handle.
    fr First row.
    lr Last row.
    nnzp Pointer to the nonzeroes variable.
Note:
    This function is an extension implemented by librsb and thus it is not part of the standard. Do not rely on it, as it may change! Please contact the library maintainers if you need its functionality.
Returns:
    On success, 0 is returned; on error, -1.

  void blas_zusget_rows_nnz_ (blas_sparse_matrix * A, const int * fr, const int * lr, int * nnzp, int * istat)
Get nnz count of matrix row interval.
Parameters:
    A A valid matrix handle.
    fr First row.
    lr Last row.
    nnzp Pointer to the nonzeroes variable.
Note:
    This function is an extension implemented by librsb and thus it is not part of the standard. Do not rely on it, as it may change! Please contact the library maintainers if you need its functionality.
Parameters:
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  int BLAS_zusget_rows_sparse (blas_sparse_matrix A, void * VA, int * IA, int * JA, int * nnz, const int fr, const int lr)
Get sparse rows of matrix.
Parameters:
    A A valid matrix handle.
    VA pointer to values.
    IA Row indices array.
    JA Column indices array.
    nnz Obtained nonzeroes.
    fr first row.
    lr Last row.
Note:
    This function is an extension implemented by librsb and thus it is not part of the standard. Do not rely on it, as it may change! Please contact the library maintainers if you need its functionality.
Returns:
    On success, 0 is returned; on error, -1.

  void blas_zusget_rows_sparse_ (blas_sparse_matrix * A, void * VA, int * IA, int * JA, int * nnz, const int * fr, const int * lr, int * istat)
Get sparse rows of matrix.
Parameters:
    A A valid matrix handle.
    VA pointer to values.
    IA Row indices array.
    JA Column indices array.
    nnz Obtained nonzeroes.
    fr first row.
    lr Last row.
Note:
    This function is an extension implemented by librsb and thus it is not part of the standard. Do not rely on it, as it may change! Please contact the library maintainers if you need its functionality.
Parameters:
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  int BLAS_zusgz (const int nnz, void * y, const int incy, void * x, const int * indx, const enum blas_base_type index_base)
Sparse gather and zero. $X <- Y |_x;Y|_x <- 0$.
Parameters:
    y Array for $Y$ vector.
    x Array for $X$ vector.
    nnz Size of $X$ and $Y$ vectors.
    indx Is the array of indices at which sparse vector $X$ will be accessed.
    index_base Specifies the contents of indx, either blas_one_base or blas_one_base.
    incy The distance between consecutive y array elements..
Returns:
    On success, 0 is returned; on error, -1.
Warning:
    Sparse BLAS Level 1 has been implemented, although not with performance in mind.

  void blas_zusgz_ (const int * nnz, void * y, const int * incy, void * x, const int * indx, const enum blas_base_type * index_base, int * istat)
Sparse gather and zero. $X <- Y |_x;Y|_x <- 0$.
Parameters:
    y Array for $Y$ vector.
    x Array for $X$ vector.
    nnz Size of $X$ and $Y$ vectors.
    indx Is the array of indices at which sparse vector $X$ will be accessed.
    index_base Specifies the contents of indx, either blas_one_base or blas_one_base.
    incy The distance between consecutive y array elements..
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.
Warning:
    Sparse BLAS Level 1 has been implemented, although not with performance in mind.

  int BLAS_zusmm (const enum blas_order_type order, const enum blas_trans_type transA, const int nrhs, const void * alpha, const blas_sparse_matrix A, const void * b, const int ldb, void * c, const int ldc)
Multiply by a dense matrix (aka multi-vector). Either of $C <- alpha AB+C,$ $C <- alpha A^T B+C,$ $C <- alpha A^H B+C$, depending on the value of transA.
Parameters:
    order layour of the dense array.
    transA Transposition operator for matrix A.
    nrhs Number of right hand side columns.
    A A valid matrix handle.
    alpha Value for $ alpha $.
    b Dense vector b.
    ldb Leading dimension of b.
    c Dense vector c.
    ldc Leading dimension of c.
Note:
    By setting the blas_rsb_autotune_next_operation property via BLAS_ussp (at any time) the next multiplication routine call (either of BLAS_dusmv, BLAS_susmv, BLAS_zusmv, BLAS_cusmv, BLAS_dusmm, BLAS_susmm, BLAS_zusmm, BLAS_cusmm) will invoke autotuning before carrying out the effective operation. The tuning will take in account parameters like transposition, number of right hand sides, and scaling constants. By setting the blas_rsb_spmv_autotuning_on property via BLAS_ussp, the default number of executing threads for this matrix will be determined once, at matrix assembly time, and employed irrespective of the default threads count (different values for transposed and untransposed multiply). This can be overridden only by setting the RSB_NUM_THREADS environment variable.
See also:
    On the topic of autotuning, see also rsb_tune_spmm. If --enable-rsb-num-threads has been specified at configure time, the RSB_NUM_THREADS environment variable will override the number of executing threads specified by OMP_NUM_THREADS. (See also RSB_IO_WANT_EXECUTING_THREADS).
Returns:
    On success, 0 is returned; on error, -1.

  void blas_zusmm_ (const enum blas_order_type * order, const enum blas_trans_type * transA, const int * nrhs, const void * alpha, const blas_sparse_matrix * A, const void * b, const int * ldb, void * c, const int * ldc, int * istat)
Multiply by a dense matrix (aka multi-vector). Either of $C <- alpha AB+C,$ $C <- alpha A^T B+C,$ $C <- alpha A^H B+C$, depending on the value of transA.
Parameters:
    order layour of the dense array.
    transA Transposition operator for matrix A.
    nrhs Number of right hand side columns.
    A A valid matrix handle.
    alpha Value for $ alpha $.
    b Dense vector b.
    ldb Leading dimension of b.
    c Dense vector c.
    ldc Leading dimension of c.
Note:
    By setting the blas_rsb_autotune_next_operation property via BLAS_ussp (at any time) the next multiplication routine call (either of BLAS_dusmv, BLAS_susmv, BLAS_zusmv, BLAS_cusmv, BLAS_dusmm, BLAS_susmm, BLAS_zusmm, BLAS_cusmm) will invoke autotuning before carrying out the effective operation. The tuning will take in account parameters like transposition, number of right hand sides, and scaling constants. By setting the blas_rsb_spmv_autotuning_on property via BLAS_ussp, the default number of executing threads for this matrix will be determined once, at matrix assembly time, and employed irrespective of the default threads count (different values for transposed and untransposed multiply). This can be overridden only by setting the RSB_NUM_THREADS environment variable.
See also:
    On the topic of autotuning, see also rsb_tune_spmm. If --enable-rsb-num-threads has been specified at configure time, the RSB_NUM_THREADS environment variable will override the number of executing threads specified by OMP_NUM_THREADS. (See also RSB_IO_WANT_EXECUTING_THREADS).
Parameters:
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  int BLAS_zusmv (const enum blas_trans_type transA, const void * alpha, const blas_sparse_matrix A, const void * x, const int incx, void * y, const int incy)
Multiply by a dense vector. Either of $Y <- alpha A X + Y ,$ $Y <- alpha A^T X + Y,$ $Y <- alpha A^H X + Y$, depending on the value of transA.
Parameters:
    transA Transposition operator for matrix A.
    alpha Value for $ alpha $.
    A A valid matrix handle.
    x Dense vector x.
    incx Stride of x.
    y Dense vector y.
    incy Stride of y.
Note:
    By setting the blas_rsb_autotune_next_operation property via BLAS_ussp (at any time) the next multiplication routine call (either of BLAS_dusmv, BLAS_susmv, BLAS_zusmv, BLAS_cusmv, BLAS_dusmm, BLAS_susmm, BLAS_zusmm, BLAS_cusmm) will invoke autotuning before carrying out the effective operation. The tuning will take in account parameters like transposition, number of right hand sides, and scaling constants. By setting the blas_rsb_spmv_autotuning_on property via BLAS_ussp, the default number of executing threads for this matrix will be determined once, at matrix assembly time, and employed irrespective of the default threads count (different values for transposed and untransposed multiply). This can be overridden only by setting the RSB_NUM_THREADS environment variable.
See also:
    On the topic of autotuning, see also rsb_tune_spmm. If --enable-rsb-num-threads has been specified at configure time, the RSB_NUM_THREADS environment variable will override the number of executing threads specified by OMP_NUM_THREADS. (See also RSB_IO_WANT_EXECUTING_THREADS).
Returns:
    On success, 0 is returned; on error, -1.

  void blas_zusmv_ (const enum blas_trans_type * transA, const void * alpha, const blas_sparse_matrix * A, const void * x, const int * incx, void * y, const int * incy, int * istat)
Multiply by a dense vector. Either of $Y <- alpha A X + Y ,$ $Y <- alpha A^T X + Y,$ $Y <- alpha A^H X + Y$, depending on the value of transA.
Parameters:
    transA Transposition operator for matrix A.
    alpha Value for $ alpha $.
    A A valid matrix handle.
    x Dense vector x.
    incx Stride of x.
    y Dense vector y.
    incy Stride of y.
Note:
    By setting the blas_rsb_autotune_next_operation property via BLAS_ussp (at any time) the next multiplication routine call (either of BLAS_dusmv, BLAS_susmv, BLAS_zusmv, BLAS_cusmv, BLAS_dusmm, BLAS_susmm, BLAS_zusmm, BLAS_cusmm) will invoke autotuning before carrying out the effective operation. The tuning will take in account parameters like transposition, number of right hand sides, and scaling constants. By setting the blas_rsb_spmv_autotuning_on property via BLAS_ussp, the default number of executing threads for this matrix will be determined once, at matrix assembly time, and employed irrespective of the default threads count (different values for transposed and untransposed multiply). This can be overridden only by setting the RSB_NUM_THREADS environment variable.
See also:
    On the topic of autotuning, see also rsb_tune_spmm. If --enable-rsb-num-threads has been specified at configure time, the RSB_NUM_THREADS environment variable will override the number of executing threads specified by OMP_NUM_THREADS. (See also RSB_IO_WANT_EXECUTING_THREADS).
Parameters:
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  int BLAS_zusrows_scale (blas_sparse_matrix A, const void * d, const enum blas_trans_type trans)
Scale rows interval of matrix by specified factor.
Parameters:
    A A valid matrix handle.
    d Rows scaling vector.
    trans Transposition parameter (if transposed will scale columns).
Note:
    This function is an extension implemented by librsb and thus it is not part of the standard. Do not rely on it, as it may change! Please contact the library maintainers if you need its functionality.
Returns:
    On success, 0 is returned; on error, -1.

  void blas_zusrows_scale_ (blas_sparse_matrix * A, const void * d, const enum blas_trans_type * trans, int * istat)
Scale rows interval of matrix by specified factor.
Parameters:
    A A valid matrix handle.
    d Rows scaling vector.
    trans Transposition parameter (if transposed will scale columns).
Note:
    This function is an extension implemented by librsb and thus it is not part of the standard. Do not rely on it, as it may change! Please contact the library maintainers if you need its functionality.
Parameters:
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  int BLAS_zussc (const int nnz, const void * x, void * y, const int incy, const int * indx, const enum blas_base_type index_base)
Sparse scatter: $Y |_x <- X$.
Parameters:
    y Array for $Y$ vector.
    x Array for $X$ vector.
    nnz Size of $X$ and $Y$ vectors.
    indx Is the array of indices at which sparse vector $X$ will be accessed.
    index_base Specifies the contents of indx, either blas_one_base or blas_one_base.
    incy The distance between consecutive y array elements..
Returns:
    On success, 0 is returned; on error, -1.
Warning:
    Sparse BLAS Level 1 has been implemented, although not with performance in mind.

  void blas_zussc_ (const int * nnz, const void * x, void * y, const int * incy, const int * indx, const enum blas_base_type * index_base, int * istat)
Sparse scatter: $Y |_x <- X$.
Parameters:
    y Array for $Y$ vector.
    x Array for $X$ vector.
    nnz Size of $X$ and $Y$ vectors.
    indx Is the array of indices at which sparse vector $X$ will be accessed.
    index_base Specifies the contents of indx, either blas_one_base or blas_one_base.
    incy The distance between consecutive y array elements..
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.
Warning:
    Sparse BLAS Level 1 has been implemented, although not with performance in mind.

  int BLAS_zusset_element (blas_sparse_matrix A, const int i, const int j, void * v)
Set a single (existing) matrix nonzero coefficient $A_{i,j}$.
Parameters:
    A A valid matrix handle.
    i Row index.
    j Column index.
    v Value pointer.
Note:
    This function is an extension implemented by librsb and thus it is not part of the standard. Do not rely on it, as it may change! Please contact the library maintainers if you need its functionality.
Returns:
    On success, 0 is returned; on error, -1.

  void blas_zusset_element_ (blas_sparse_matrix * A, const int * i, const int * j, void * v, int * istat)
Set a single (existing) matrix nonzero coefficient $A_{i,j}$.
Parameters:
    A A valid matrix handle.
    i Row index.
    j Column index.
    v Value pointer.
Note:
    This function is an extension implemented by librsb and thus it is not part of the standard. Do not rely on it, as it may change! Please contact the library maintainers if you need its functionality.
Parameters:
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  int BLAS_zusset_elements (blas_sparse_matrix A, const int * ia, const int * ja, const void * va, const int nnz)
Set individual matrix nonzero coefficients values. The operation is pattern preserving, that is, nonzeroes must already exist.
Parameters:
    A A valid matrix handle.
    ia Row indices array.
    ja Column indices array.
    va Values array.
    nnz Length of the ia,ja,va arrays.
Note:
    This function is an extension implemented by librsb and thus it is not part of the standard. Do not rely on it, as it may change! Please contact the library maintainers if you need its functionality..
Returns:
    On success, 0 is returned; on error, -1.

  void blas_zusset_elements_ (blas_sparse_matrix * A, const int * ia, const int * ja, const void * va, const int * nnz, int * istat)
Set individual matrix nonzero coefficients values. The operation is pattern preserving, that is, nonzeroes must already exist.
Parameters:
    A A valid matrix handle.
    ia Row indices array.
    ja Column indices array.
    va Values array.
    nnz Length of the ia,ja,va arrays.
Note:
    This function is an extension implemented by librsb and thus it is not part of the standard. Do not rely on it, as it may change! Please contact the library maintainers if you need its functionality..
Parameters:
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  int BLAS_zussm (const enum blas_order_type order, const enum blas_trans_type transT, const int nrhs, const void * alpha, const blas_sparse_matrix T, void * b, const int ldb)
Triangular solve, by a dense matrix (aka multi-vector). Either of $B <- alpha T^{-1} B,$ $B <- alpha T^{-T} B,$ $B <- alpha T^{-H} B$, depending on the value of transT.
Parameters:
    order layour of the dense array.
    transT Transposition operator for matrix T.
    nrhs Number of right hand side columns.
    alpha Value for $ alpha $.
    T A valid triangular matrix handle.
    b Dense vector b.
    ldb Leading dimension of b.
Returns:
    On success, 0 is returned; on error, -1.

  void blas_zussm_ (const enum blas_order_type * order, const enum blas_trans_type * transT, const int * nrhs, const void * alpha, const blas_sparse_matrix * T, void * b, const int * ldb, int * istat)
Triangular solve, by a dense matrix (aka multi-vector). Either of $B <- alpha T^{-1} B,$ $B <- alpha T^{-T} B,$ $B <- alpha T^{-H} B$, depending on the value of transT.
Parameters:
    order layour of the dense array.
    transT Transposition operator for matrix T.
    nrhs Number of right hand side columns.
    alpha Value for $ alpha $.
    T A valid triangular matrix handle.
    b Dense vector b.
    ldb Leading dimension of b.
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  int BLAS_zussv (enum blas_trans_type transT, const void * alpha, const blas_sparse_matrix T, void * x, const int incx)
Triangular solve, by a dense vector. Either of $X <- alpha T^{-1}X,$ $X <- alpha T^{-T}X,$ $X <- alpha T^{-H}X$, depending on the value of transT.
Parameters:
    transT Transposition operator for matrix T.
    alpha Value for $ alpha $.
    T A valid triangular matrix handle.
    x Dense vector x.
    incx Stride of x.
Returns:
    On success, 0 is returned; on error, -1.

  void blas_zussv_ (enum blas_trans_type * transT, const void * alpha, const blas_sparse_matrix * T, void * x, const int * incx, int * istat)
Triangular solve, by a dense vector. Either of $X <- alpha T^{-1}X,$ $X <- alpha T^{-T}X,$ $X <- alpha T^{-H}X$, depending on the value of transT.
Parameters:
    transT Transposition operator for matrix T.
    alpha Value for $ alpha $.
    T A valid triangular matrix handle.
    x Dense vector x.
    incx Stride of x.
    istat If non NULL, *istat will be set to the return code, either 0 (success) or -1 (failure).
Returns:
    This is a subroutine for Fortran, so it does not return any value.

  blas_sparse_matrix rsb_blas_file_mtx_load (const rsb_char_t * filename, rsb_type_t typecode)
Load Matrix Market matrix file of specified type to a matrix, and return Sparse BLAS handler.
Parameters:
    filename The specified matrix file name (cannot be NULL).
    typecode A valid type code for the desired output matrix (see matrix_type_symbols_section).
Returns:
    On success, a valid matrix handle will be returned. On error, blas_invalid_handle will be returned.

  struct rsb_mtx_t* rsb_blas_get_mtx (blas_sparse_matrix A)
Given a valid Sparse BLAS handle, returns a pointer to the inner rsb_mtx_t structure. Then, this can be used for many of the rsb.h functions. This is an experimental function, so we recommend to use it with functions not modifying the matrix (ones that take const struct rsb_mtx_t*mtxAp). You can use this function from either Fortran or C.
Parameters:
    A A valid matrix handle.
Returns:
    On success, a valid pointer to the inner matrix structure (struct rsb_mtx_t*); on error, NULL.
 An example using Fortran:
...
USE blas_sparse
USE rsb
IMPLICIT NONE
TYPE(C_PTR),TARGET :: mtxAp = C_NULL_PTR ! matrix pointer
INTEGER :: A ! blas_sparse_matrix handle
INTEGER, TARGET :: istat = 0
... ! begin, populate and finalize A, e.g. using BLAS_duscr_begin, BLAS_duscr_insert_entries, BLAS_uscr_end
! get pointer to rsb structure:
mtxAp = rsb_blas_get_mtx(A)
! Now one can use it with any rsb.h/rsb.F90 function, e.g.:
istat = rsb_file_mtx_save(mtxAp, C_NULL_PTR) ! write to stdout

See also:
    rsb_mtx_get_coo, rsb_mtx_get_csr, rsb_mtx_get_rows_sparse, rsb_mtx_get_coo_block, rsb_mtx_get_prec, rsb_mtx_get_nrm, rsb_mtx_get_vec, rsb_file_mtx_get_dims, rsb_mtx_get_vals,
    rsb_mtx_upd_vals, rsb_mtx_set_vals,
    rsb_spmsp_to_dense, rsb_sppsp, rsb_spmsp, rsb_mtx_add_to_dense,
    rsb_mtx_rndr, rsb_file_mtx_rndr,
    rsb_mtx_get_info, rsb_mtx_get_info_str, rsb_file_mtx_save, rsb_file_vec_load, rsb_file_mtx_load.
Note:
    This function is an extension implemented by librsb and thus it is not part of the standard. Do not rely on it, as it may change! Please contact the library maintainers if you need its functionality.

Author
librsb was written by Michele Martone; this documentation has been generated by Doxygen.

SEE ALSO
rsb-examples rsb.h rsb.hpp rsb-spblas.h